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This article explains data mining and its six phases of CRISP-DM, importance, elements like accuracy, relevancy, and specificity, and possible problems in data mining. It also includes findings of the section related to popular authors and their books.
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BUSINESS INFORMATION SYSTEMS
Business Information Systems
MUHAMMAD SULEMAN
KAPLAN BUSINESS SCHOOL
Business Information Systems
MUHAMMAD SULEMAN
KAPLAN BUSINESS SCHOOL
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BUSINESS INFORMATION SYSTEMS
1
Table of Contents
Part A:........................................................................................................................................2
Question 1: Explaining data mining and describing each of the six phases of CRISP-
DM..............................................................................................................................................2
Question 2: Explaining why data mining is important and describing the elements of
data mining...............................................................................................................................2
Question 3: Describing the three possible problems in data mining...............................3
Part B: Findings of the section..............................................................................................4
References:..............................................................................................................................9
Appendices:............................................................................................................................10
1
Table of Contents
Part A:........................................................................................................................................2
Question 1: Explaining data mining and describing each of the six phases of CRISP-
DM..............................................................................................................................................2
Question 2: Explaining why data mining is important and describing the elements of
data mining...............................................................................................................................2
Question 3: Describing the three possible problems in data mining...............................3
Part B: Findings of the section..............................................................................................4
References:..............................................................................................................................9
Appendices:............................................................................................................................10
BUSINESS INFORMATION SYSTEMS
2
Part A:
Question 1: Explaining data mining and describing each of the six phases of CRISP-
DM
Data mining is a practise, which is used by the organisation for examining the large
pre-existing database for generating new information. In addition, from the evaluation it can
be detected that data mining is mainly a tool, which is used for analysing the data and
determining the information, which is needed for analysis purpose. The six phases of
CRISP-DM are depicted as follows.
Business understanding: This phase relevantly evaluates and understands the project
objectives and requirements, which is needed in the data mining process (Larose and
Larose 2014).
Data understanding: This phase mainly familiarises with the data collection process by
identifying data quality issues in the initial stage by evaluating the obvious results.
Data preparation: The phase involves steps of recording and cleansing the data that is to
be used for the data mining process.
Modelling: The process relevantly utilises the overall data mining tools, which has been
used for conducting the data mining tool.
Evaluation: The stage relevant evaluates the overall result and determines, whether it
meets the business objective. The stage identifies different issues that needs to be
addressed for securely completing the evaluation (Wu et al. 2014).
Deployments: The stage relevantly puts the overall model in practise, which eventually help
in continuing the mining of the data.
Question 2: Explaining why data mining is important and describing the elements of
data mining
Data mining is important, as it allows the organisation to evaluate high end data and
determine the output, which is required for future use. There are three elements of data
mining, which are accuracy, relevancy, and specificity that allows the organisation to
evaluate the overall data. The elements of data mining are depicted as follows.
2
Part A:
Question 1: Explaining data mining and describing each of the six phases of CRISP-
DM
Data mining is a practise, which is used by the organisation for examining the large
pre-existing database for generating new information. In addition, from the evaluation it can
be detected that data mining is mainly a tool, which is used for analysing the data and
determining the information, which is needed for analysis purpose. The six phases of
CRISP-DM are depicted as follows.
Business understanding: This phase relevantly evaluates and understands the project
objectives and requirements, which is needed in the data mining process (Larose and
Larose 2014).
Data understanding: This phase mainly familiarises with the data collection process by
identifying data quality issues in the initial stage by evaluating the obvious results.
Data preparation: The phase involves steps of recording and cleansing the data that is to
be used for the data mining process.
Modelling: The process relevantly utilises the overall data mining tools, which has been
used for conducting the data mining tool.
Evaluation: The stage relevant evaluates the overall result and determines, whether it
meets the business objective. The stage identifies different issues that needs to be
addressed for securely completing the evaluation (Wu et al. 2014).
Deployments: The stage relevantly puts the overall model in practise, which eventually help
in continuing the mining of the data.
Question 2: Explaining why data mining is important and describing the elements of
data mining
Data mining is important, as it allows the organisation to evaluate high end data and
determine the output, which is required for future use. There are three elements of data
mining, which are accuracy, relevancy, and specificity that allows the organisation to
evaluate the overall data. The elements of data mining are depicted as follows.
BUSINESS INFORMATION SYSTEMS
3
Accuracy: The main elements of data mining is accuracy, as the technical tool requires high
quality and accurate data for comprising the analysis. Hence, accuracy of the data is
essential, as erroneous data will produce erroneous output, which will negative affect the
end results.
Relevancy: Relevancy of the data is also essential, as it allows the organisation for
determining the level of tool and programs, which can be used for harvesting the data. The
harvesting of data needs to be conducted for specific criteria, which helps in accumulating
data and using logical expressions for reigning the harvest parameters (Roiger 2017).
Specificity: The specificity of the data mining process is essential for the organisation, as it
allows the companies to evaluate the data on the basis of the needs. Therefore, the data
collection process needs to be specific, where no extra data needs to be collected, as it
might negatively affect the overall data mining process.
Question 3: Describing the three possible problems in data mining
Data mining has relevant problems, which reduces the functionality and quality of the
result obtained from the process. There are specific problems in data mining process, which
are identified as follows.
The major problem that occurs from data mining are unavailability of data or difficulty to
access the data. The data mining needs adequate information, where its unavailability
might negatively affect the overall data mining process (Zheng 2015).
The second problem is dealing with huge database, which will require distributed
approaches for ensuring the selection of adequate data for the mining process.
The third problem that occurs with data mining process is the poor data quality, which
might negatively affect the overall process. The incorrect and inexact values in the data
mining process might negatively affect the overall results that will be obtained from the
function.
3
Accuracy: The main elements of data mining is accuracy, as the technical tool requires high
quality and accurate data for comprising the analysis. Hence, accuracy of the data is
essential, as erroneous data will produce erroneous output, which will negative affect the
end results.
Relevancy: Relevancy of the data is also essential, as it allows the organisation for
determining the level of tool and programs, which can be used for harvesting the data. The
harvesting of data needs to be conducted for specific criteria, which helps in accumulating
data and using logical expressions for reigning the harvest parameters (Roiger 2017).
Specificity: The specificity of the data mining process is essential for the organisation, as it
allows the companies to evaluate the data on the basis of the needs. Therefore, the data
collection process needs to be specific, where no extra data needs to be collected, as it
might negatively affect the overall data mining process.
Question 3: Describing the three possible problems in data mining
Data mining has relevant problems, which reduces the functionality and quality of the
result obtained from the process. There are specific problems in data mining process, which
are identified as follows.
The major problem that occurs from data mining are unavailability of data or difficulty to
access the data. The data mining needs adequate information, where its unavailability
might negatively affect the overall data mining process (Zheng 2015).
The second problem is dealing with huge database, which will require distributed
approaches for ensuring the selection of adequate data for the mining process.
The third problem that occurs with data mining process is the poor data quality, which
might negatively affect the overall process. The incorrect and inexact values in the data
mining process might negatively affect the overall results that will be obtained from the
function.
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BUSINESS INFORMATION SYSTEMS
4
Part B: Findings of the section
No Publisher Author Weeks on list
1 Riverhead Paula Hawkins 102
2 Scribner Anthony Doerr 81
3 Vintage E L James 66
4 St. Martin's Kristin Hannah 63
5 Penguin Group Kathryn Stockett 58
6
Washington
Square Fredrik Backman 56
7 Andrews McMeel Rupi Kaur 52
8 Bantam George R R Martin 51
9 Berkley Liane Moriarty 38
10 Ballantine Lisa Wingate 35
The above table represents the ten most popular authors in terms of weeks on list,
which has been derived from the overall data. The author Paula Hawkins is considered to be
the most popular author in the list, as the book he published lasted for 102 weeks.
Row Labels Count of Book title Sum of Weeks on list2 Average of Weeks on list
Danielle Steel 32 38 1.1875
Susan Mallery 30 28 0.933333333
Christine Feehan 28 31 1.107142857
Stuart Woods 27 23 0.851851852
Debbie Macomber 26 23 0.884615385
Nora Roberts 25 57 2.28
Ron Carr 23 21 0.913043478
Maya Banks 22 24 1.090909091
Marie Force 20 14 0.7
4
Part B: Findings of the section
No Publisher Author Weeks on list
1 Riverhead Paula Hawkins 102
2 Scribner Anthony Doerr 81
3 Vintage E L James 66
4 St. Martin's Kristin Hannah 63
5 Penguin Group Kathryn Stockett 58
6
Washington
Square Fredrik Backman 56
7 Andrews McMeel Rupi Kaur 52
8 Bantam George R R Martin 51
9 Berkley Liane Moriarty 38
10 Ballantine Lisa Wingate 35
The above table represents the ten most popular authors in terms of weeks on list,
which has been derived from the overall data. The author Paula Hawkins is considered to be
the most popular author in the list, as the book he published lasted for 102 weeks.
Row Labels Count of Book title Sum of Weeks on list2 Average of Weeks on list
Danielle Steel 32 38 1.1875
Susan Mallery 30 28 0.933333333
Christine Feehan 28 31 1.107142857
Stuart Woods 27 23 0.851851852
Debbie Macomber 26 23 0.884615385
Nora Roberts 25 57 2.28
Ron Carr 23 21 0.913043478
Maya Banks 22 24 1.090909091
Marie Force 20 14 0.7
BUSINESS INFORMATION SYSTEMS
5
David Baldacci 20 121 6.05
Fern Michaels 19 13 0.684210526
Iris Johansen 17 16 0.941176471
Dean Koontz 17 14 0.823529412
Lee Child 16 56 3.5
Michael Connelly 16 44 2.75
J A Jance 16 16 1
Stephen King 15 73 4.866666667
Jill Shalvis 15 9 0.6
Lisa Scottoline 14 15 1.071428571
Sandra Brown 14 18 1.285714286
Karen Kingsbury 14 13 0.928571429
Kristen Ashley 14 11 0.785714286
John Sandford 14 37 2.642857143
Lynsay Sands 14 12 0.857142857
J R Ward 13 10 0.769230769
Janet Evanovich 13 29 2.230769231
Christina Lauren 13 8 0.615384615
J D Robb 13 14 1.076923077
Kresley Cole 12 9 0.75
Linda Lael Miller 12 12 1
James Patterson
and Maxine Paetro 12 20 1.666666667
5
David Baldacci 20 121 6.05
Fern Michaels 19 13 0.684210526
Iris Johansen 17 16 0.941176471
Dean Koontz 17 14 0.823529412
Lee Child 16 56 3.5
Michael Connelly 16 44 2.75
J A Jance 16 16 1
Stephen King 15 73 4.866666667
Jill Shalvis 15 9 0.6
Lisa Scottoline 14 15 1.071428571
Sandra Brown 14 18 1.285714286
Karen Kingsbury 14 13 0.928571429
Kristen Ashley 14 11 0.785714286
John Sandford 14 37 2.642857143
Lynsay Sands 14 12 0.857142857
J R Ward 13 10 0.769230769
Janet Evanovich 13 29 2.230769231
Christina Lauren 13 8 0.615384615
J D Robb 13 14 1.076923077
Kresley Cole 12 9 0.75
Linda Lael Miller 12 12 1
James Patterson
and Maxine Paetro 12 20 1.666666667
BUSINESS INFORMATION SYSTEMS
6
John Grisham 11 72 6.545454545
Sherrilyn Kenyon 11 7 0.636363636
Lisa Gardner 11 20 1.818181818
James Patterson 11 58 5.272727273
Douglas Preston
and Lincoln Child 11 13 1.181818182
Elin Hildebrand 11 11 1
The above list represents the overall data of authors who have more than 10 books
listed as the bestseller. In addition, the number total weeks that the books have been listed
are also depicted in the table with the average number of weeks that the books were
bestsellers (Torgo 2016).
44 CHARLES STREET
ACCIDENTAL HEROES
BETRAYAL
COUNTRY
FAIRYTALE
FIRST SIGHT
HAPPY BIRTHDAY
MAGIC
PEGASUS
PRECIOUS GIFTS
PROPERTY OF A NOBLEWOMAN
THE APARTMENT
THE CAST
THE MISTRESS
THE SINS OF THE MOTHER
UNTIL THE END OF TIME
0
1
2
3
4
5
6
Danielle Steel
6
John Grisham 11 72 6.545454545
Sherrilyn Kenyon 11 7 0.636363636
Lisa Gardner 11 20 1.818181818
James Patterson 11 58 5.272727273
Douglas Preston
and Lincoln Child 11 13 1.181818182
Elin Hildebrand 11 11 1
The above list represents the overall data of authors who have more than 10 books
listed as the bestseller. In addition, the number total weeks that the books have been listed
are also depicted in the table with the average number of weeks that the books were
bestsellers (Torgo 2016).
44 CHARLES STREET
ACCIDENTAL HEROES
BETRAYAL
COUNTRY
FAIRYTALE
FIRST SIGHT
HAPPY BIRTHDAY
MAGIC
PEGASUS
PRECIOUS GIFTS
PROPERTY OF A NOBLEWOMAN
THE APARTMENT
THE CAST
THE MISTRESS
THE SINS OF THE MOTHER
UNTIL THE END OF TIME
0
1
2
3
4
5
6
Danielle Steel
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BUSINESS INFORMATION SYSTEMS
7
A FOOL'S GOLD CHRISTMAS
ALL SUMMER LONG
BEST OF MY LOVE
DAUGHTERS OF THE BRIDE
HALFWAY THERE
JUST ONE KISS
MARRY ME AT CHRISTMAS
ONLY US
SECOND CHANCE GIRL
SISTERS LIKE US
SUMMER NIGHTS
THREE LITTLE WORDS
THRILL ME
UNTIL WE TOUCH
YOU SAY IT FIRST
0
0.5
1
1.5
2
2.5
3
3.5
Susan Mallery
AIR BOUND
CAT'S LAIR
DARK BLOOD
DARK GHOST
DARK LYCAN
DARK PROMISES
DARK WOLF
FIRE BOUND
LEOPARD'S BLOOD
LEOPARD'S PREY
SAMURAI GAME
SHADOW REAPER
SPIDER GAME
VIPER GAME
0
0.5
1
1.5
2
2.5
Christine Feehan
1105 YAKIMA STREET
16 LIGHTHOUSE ROAD
A TURN IN THE ROAD
ANGELS AT THE TABLE
BLOSSOM STREET BRIDES
FRIENDS ‰ÛÓ AND THEN SOME
IF NOT FOR YOU
LOST AND FOUND IN CEDAR COVE
MERRY AND BRIGHT
ROSE HARBOR IN BLOOM
STARRY NIGHT
SWEET TOMORROWS
THE WAY TO A MAN'S HEART
0
1
2
3
4
5
6
Debbie Macomber
7
A FOOL'S GOLD CHRISTMAS
ALL SUMMER LONG
BEST OF MY LOVE
DAUGHTERS OF THE BRIDE
HALFWAY THERE
JUST ONE KISS
MARRY ME AT CHRISTMAS
ONLY US
SECOND CHANCE GIRL
SISTERS LIKE US
SUMMER NIGHTS
THREE LITTLE WORDS
THRILL ME
UNTIL WE TOUCH
YOU SAY IT FIRST
0
0.5
1
1.5
2
2.5
3
3.5
Susan Mallery
AIR BOUND
CAT'S LAIR
DARK BLOOD
DARK GHOST
DARK LYCAN
DARK PROMISES
DARK WOLF
FIRE BOUND
LEOPARD'S BLOOD
LEOPARD'S PREY
SAMURAI GAME
SHADOW REAPER
SPIDER GAME
VIPER GAME
0
0.5
1
1.5
2
2.5
Christine Feehan
1105 YAKIMA STREET
16 LIGHTHOUSE ROAD
A TURN IN THE ROAD
ANGELS AT THE TABLE
BLOSSOM STREET BRIDES
FRIENDS ‰ÛÓ AND THEN SOME
IF NOT FOR YOU
LOST AND FOUND IN CEDAR COVE
MERRY AND BRIGHT
ROSE HARBOR IN BLOOM
STARRY NIGHT
SWEET TOMORROWS
THE WAY TO A MAN'S HEART
0
1
2
3
4
5
6
Debbie Macomber
BUSINESS INFORMATION SYSTEMS
8
The above column graph directly indicates the level of books that has been published
by the top-level authors with maximum shelf life. Danielle Steel is one the biggest authors
with 32 books listed as the bestseller in the list. The above graph represents the overall
books, which have been listed in the above graph as per the number of weeks in the
bestseller list. In the similar instance, the above graph represents the data of Susan Mallery,
Christine Feehan, and Christine Feehan, which can eventually help in detecting the number
of books that have been published by each author. Danielle Steel is an author, who has
published the highest number of bestseller books, which has been derived from the overall
data (Aggarwal 2015).
8
The above column graph directly indicates the level of books that has been published
by the top-level authors with maximum shelf life. Danielle Steel is one the biggest authors
with 32 books listed as the bestseller in the list. The above graph represents the overall
books, which have been listed in the above graph as per the number of weeks in the
bestseller list. In the similar instance, the above graph represents the data of Susan Mallery,
Christine Feehan, and Christine Feehan, which can eventually help in detecting the number
of books that have been published by each author. Danielle Steel is an author, who has
published the highest number of bestseller books, which has been derived from the overall
data (Aggarwal 2015).
BUSINESS INFORMATION SYSTEMS
9
References:
Aggarwal, CC 2015, ‘Data mining: the textbook,’ Springer.
Chen, F, Deng, P, Wan, J, Zhang, D, Vasilakos, A.V & Rong, X 2015,’Data mining for the
internet of things: literature review and challenges’, International Journal of Distributed
Sensor Networks, vol. 11, no. 8, p.431-047.
Larose, DT and Larose, CD 2014, ‘Discovering knowledge in data: an introduction to data
mining’, John Wiley & Sons.
Roiger RJ 2017, ‘Data mining: a tutorial-based primer’, Chapman and Hall/CRC.
Torgo, L 2016, ‘Data mining with R: learning with case studies’, Chapman and Hall/CRC.
Witten, IH, Frank, E, Hall, MA & Pal, CJ 2016, ‘Data Mining: Practical machine learning tools
and techniques’, Morgan Kaufmann.
Wu, X, Zhu, X, Wu, GQ & Ding, W 2014, ‘Data mining with big data’, IEEE transactions on
knowledge and data engineering, vol. 26 no. 1, pp.97-107.
Zheng, Y 2015, ‘Trajectory data mining: an overview’, ACM Transactions on Intelligent
Systems and Technology (TIST), 6(3), p.29.
9
References:
Aggarwal, CC 2015, ‘Data mining: the textbook,’ Springer.
Chen, F, Deng, P, Wan, J, Zhang, D, Vasilakos, A.V & Rong, X 2015,’Data mining for the
internet of things: literature review and challenges’, International Journal of Distributed
Sensor Networks, vol. 11, no. 8, p.431-047.
Larose, DT and Larose, CD 2014, ‘Discovering knowledge in data: an introduction to data
mining’, John Wiley & Sons.
Roiger RJ 2017, ‘Data mining: a tutorial-based primer’, Chapman and Hall/CRC.
Torgo, L 2016, ‘Data mining with R: learning with case studies’, Chapman and Hall/CRC.
Witten, IH, Frank, E, Hall, MA & Pal, CJ 2016, ‘Data Mining: Practical machine learning tools
and techniques’, Morgan Kaufmann.
Wu, X, Zhu, X, Wu, GQ & Ding, W 2014, ‘Data mining with big data’, IEEE transactions on
knowledge and data engineering, vol. 26 no. 1, pp.97-107.
Zheng, Y 2015, ‘Trajectory data mining: an overview’, ACM Transactions on Intelligent
Systems and Technology (TIST), 6(3), p.29.
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BUSINESS INFORMATION SYSTEMS
10
Appendices:
N
o Publisher Author
Primary
isbn10 date Book title
Weeks
on list
1 Riverhead
Paula
Hawkins
15946340
25 2/19/17
THE GIRL ON THE
TRAIN 102
2 Scribner
Anthony
Doerr
15011732
19
05-07-
2017
ALL THE LIGHT WE
CANNOT SEE 81
3 Vintage E L James
52543188
8
03-05-
2017
FIFTY SHADES
DARKER 66
4 St. Martin's
Kristin
Hannah
14668506
04
10/29/1
7 THE NIGHTINGALE 63
5
Penguin
Group
Kathryn
Stockett
14406976
63
04-08-
2012 THE HELP 58
6
Washington
Square
Fredrik
Backman
14767380
25 7/23/17 A MAN CALLED OVE 56
7
Andrews
McMeel Rupi Kaur
14494742
5X
03-11-
2018 MILK AND HONEY 52
8 Bantam
George R R
Martin
55389784
5 9/17/17
A GAME OF
THRONES 51
9 Berkley
Liane
Moriarty
42527486
1 5/21/17 BIG LITTLE LIES 38
1
0 Ballantine
Lisa
Wingate
42528469
7
06-09-
2018
BEFORE WE WERE
YOURS 35
Row Labels
Count of
Book title
Sum of
Weeks on
list2
Average of
Weeks on list
Danielle Steel 32 38 1.1875
Susan Mallery 30 28 0.933333333
Christine Feehan 28 31 1.107142857
Stuart Woods 27 23 0.851851852
Debbie Macomber 26 23 0.884615385
Nora Roberts 25 57 2.28
Ron Carr 23 21 0.913043478
10
Appendices:
N
o Publisher Author
Primary
isbn10 date Book title
Weeks
on list
1 Riverhead
Paula
Hawkins
15946340
25 2/19/17
THE GIRL ON THE
TRAIN 102
2 Scribner
Anthony
Doerr
15011732
19
05-07-
2017
ALL THE LIGHT WE
CANNOT SEE 81
3 Vintage E L James
52543188
8
03-05-
2017
FIFTY SHADES
DARKER 66
4 St. Martin's
Kristin
Hannah
14668506
04
10/29/1
7 THE NIGHTINGALE 63
5
Penguin
Group
Kathryn
Stockett
14406976
63
04-08-
2012 THE HELP 58
6
Washington
Square
Fredrik
Backman
14767380
25 7/23/17 A MAN CALLED OVE 56
7
Andrews
McMeel Rupi Kaur
14494742
5X
03-11-
2018 MILK AND HONEY 52
8 Bantam
George R R
Martin
55389784
5 9/17/17
A GAME OF
THRONES 51
9 Berkley
Liane
Moriarty
42527486
1 5/21/17 BIG LITTLE LIES 38
1
0 Ballantine
Lisa
Wingate
42528469
7
06-09-
2018
BEFORE WE WERE
YOURS 35
Row Labels
Count of
Book title
Sum of
Weeks on
list2
Average of
Weeks on list
Danielle Steel 32 38 1.1875
Susan Mallery 30 28 0.933333333
Christine Feehan 28 31 1.107142857
Stuart Woods 27 23 0.851851852
Debbie Macomber 26 23 0.884615385
Nora Roberts 25 57 2.28
Ron Carr 23 21 0.913043478
BUSINESS INFORMATION SYSTEMS
11
Maya Banks 22 24 1.090909091
Marie Force 20 14 0.7
David Baldacci 20 121 6.05
Fern Michaels 19 13 0.684210526
Iris Johansen 17 16 0.941176471
Dean Koontz 17 14 0.823529412
Lee Child 16 56 3.5
Michael Connelly 16 44 2.75
J A Jance 16 16 1
Stephen King 15 73 4.866666667
Jill Shalvis 15 9 0.6
Lisa Scottoline 14 15 1.071428571
Sandra Brown 14 18 1.285714286
Karen Kingsbury 14 13 0.928571429
Kristen Ashley 14 11 0.785714286
John Sandford 14 37 2.642857143
Lynsay Sands 14 12 0.857142857
J R Ward 13 10 0.769230769
Janet Evanovich 13 29 2.230769231
Christina Lauren 13 8 0.615384615
J D Robb 13 14 1.076923077
Kresley Cole 12 9 0.75
Linda Lael Miller 12 12 1
James Patterson and Maxine Paetro 12 20 1.666666667
John Grisham 11 72 6.545454545
Sherrilyn Kenyon 11 7 0.636363636
Lisa Gardner 11 20 1.818181818
James Patterson 11 58 5.272727273
Douglas Preston and Lincoln Child 11 13 1.181818182
Elin Hilderbrand 11 11 1
Kristin Hannah 10 85 8.5
Sherryl Woods 10 7 0.7
Philippa Gregory 10 8 0.8
Lisa Jackson 10 10 1
11
Maya Banks 22 24 1.090909091
Marie Force 20 14 0.7
David Baldacci 20 121 6.05
Fern Michaels 19 13 0.684210526
Iris Johansen 17 16 0.941176471
Dean Koontz 17 14 0.823529412
Lee Child 16 56 3.5
Michael Connelly 16 44 2.75
J A Jance 16 16 1
Stephen King 15 73 4.866666667
Jill Shalvis 15 9 0.6
Lisa Scottoline 14 15 1.071428571
Sandra Brown 14 18 1.285714286
Karen Kingsbury 14 13 0.928571429
Kristen Ashley 14 11 0.785714286
John Sandford 14 37 2.642857143
Lynsay Sands 14 12 0.857142857
J R Ward 13 10 0.769230769
Janet Evanovich 13 29 2.230769231
Christina Lauren 13 8 0.615384615
J D Robb 13 14 1.076923077
Kresley Cole 12 9 0.75
Linda Lael Miller 12 12 1
James Patterson and Maxine Paetro 12 20 1.666666667
John Grisham 11 72 6.545454545
Sherrilyn Kenyon 11 7 0.636363636
Lisa Gardner 11 20 1.818181818
James Patterson 11 58 5.272727273
Douglas Preston and Lincoln Child 11 13 1.181818182
Elin Hilderbrand 11 11 1
Kristin Hannah 10 85 8.5
Sherryl Woods 10 7 0.7
Philippa Gregory 10 8 0.8
Lisa Jackson 10 10 1
BUSINESS INFORMATION SYSTEMS
12
Lori Foster 10 4 0.4
Nalini Singh 10 4 0.4
Abbi Glines 10 14 1.4
Colleen Hoover 10 18 1.8
Mary Balogh 9 9 1
Patricia Briggs 9 5 0.555555556
Nicholas Sparks 9 76 8.444444444
Laurann Dohner 9 6 0.666666667
Stephanie Laurens 9 6 0.666666667
Jonathan Kellerman 9 10 1.111111111
Mary Higgins Clark 9 13 1.444444444
Helen Hardt 9 8 0.888888889
Jamie McGuire 9 8 0.888888889
Ilona Andrews 9 7 0.777777778
Jessica Sorensen 9 7 0.777777778
C J Box 9 10 1.111111111
H M Ward 9 7 0.777777778
Harlan Coben 9 26 2.888888889
Tess Gerritsen 8 6 0.75
Steve Berry 8 6 0.75
Richard Paul Evans 8 8 1
Karin Slaughter 8 10 1.25
Amanda Quick 8 8 1
Jeffery Deaver 8 6 0.75
James Patterson and Michael Ledwidge 8 22 2.75
Diana Gabaldon 8 25 3.125
Jeffrey Archer 8 8 1
Dorothea Benton Frank 8 6 0.75
Brad Taylor 8 6 0.75
Sylvia Day 7 27 3.857142857
Richard Castle 7 3 0.428571429
Lauren Blakely 7 5 0.714285714
Laurell K Hamilton 7 7 1
Kristen Pro 7 4 0.571428571
12
Lori Foster 10 4 0.4
Nalini Singh 10 4 0.4
Abbi Glines 10 14 1.4
Colleen Hoover 10 18 1.8
Mary Balogh 9 9 1
Patricia Briggs 9 5 0.555555556
Nicholas Sparks 9 76 8.444444444
Laurann Dohner 9 6 0.666666667
Stephanie Laurens 9 6 0.666666667
Jonathan Kellerman 9 10 1.111111111
Mary Higgins Clark 9 13 1.444444444
Helen Hardt 9 8 0.888888889
Jamie McGuire 9 8 0.888888889
Ilona Andrews 9 7 0.777777778
Jessica Sorensen 9 7 0.777777778
C J Box 9 10 1.111111111
H M Ward 9 7 0.777777778
Harlan Coben 9 26 2.888888889
Tess Gerritsen 8 6 0.75
Steve Berry 8 6 0.75
Richard Paul Evans 8 8 1
Karin Slaughter 8 10 1.25
Amanda Quick 8 8 1
Jeffery Deaver 8 6 0.75
James Patterson and Michael Ledwidge 8 22 2.75
Diana Gabaldon 8 25 3.125
Jeffrey Archer 8 8 1
Dorothea Benton Frank 8 6 0.75
Brad Taylor 8 6 0.75
Sylvia Day 7 27 3.857142857
Richard Castle 7 3 0.428571429
Lauren Blakely 7 5 0.714285714
Laurell K Hamilton 7 7 1
Kristen Pro 7 4 0.571428571
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13
Louise Penny 7 7 1
Lisa Kleypas 7 6 0.857142857
W E B Griffin and William E Butterworth IV 7 5 0.714285714
Jeaniene Frost 7 7 1
Jacqueline Winspear 7 5 0.714285714
Barbara Freethy 7 10 1.428571429
Jodi Picoult 7 23 3.285714286
James Rollins 7 6 0.857142857
Eloisa James 7 6 0.857142857
Daniel Silva 7 10 1.428571429
Alexander McCall Smith 7 7 1
Bella Andre 7 5 0.714285714
Gena Showalter 7 6 0.857142857
Deborah Bladon 7 2 0.285714286
Clive Cussler and Graham Brown 7 5 0.714285714
Jayne Ann Krentz 7 6 0.857142857
Jim Butcher 7 7 1
Catherine Coulter 7 12 1.714285714
Brad Thor 7 14 2
Joanne Fluke 7 5 0.714285714
Heather Graham 7 6 0.857142857
George R R Martin 7 51 7.285714286
Jo Nesbo 7 7 1
Charlaine Harris 7 11 1.571428571
Clive Cussler and Justin Scott 7 5 0.714285714
Julia Quinn 6 5 0.833333333
Sophie Kinsella 6 10 1.666666667
Mark Greaney 6 6 1
Katy Evans 6 3 0.5
Vi Keeland 6 4 0.666666667
Patricia Cornwell 6 11 1.833333333
Kathy Reichs 6 6 1
Karen Marie Moning 6 5 0.833333333
Mary Kay Andrews 6 11 1.833333333
13
Louise Penny 7 7 1
Lisa Kleypas 7 6 0.857142857
W E B Griffin and William E Butterworth IV 7 5 0.714285714
Jeaniene Frost 7 7 1
Jacqueline Winspear 7 5 0.714285714
Barbara Freethy 7 10 1.428571429
Jodi Picoult 7 23 3.285714286
James Rollins 7 6 0.857142857
Eloisa James 7 6 0.857142857
Daniel Silva 7 10 1.428571429
Alexander McCall Smith 7 7 1
Bella Andre 7 5 0.714285714
Gena Showalter 7 6 0.857142857
Deborah Bladon 7 2 0.285714286
Clive Cussler and Graham Brown 7 5 0.714285714
Jayne Ann Krentz 7 6 0.857142857
Jim Butcher 7 7 1
Catherine Coulter 7 12 1.714285714
Brad Thor 7 14 2
Joanne Fluke 7 5 0.714285714
Heather Graham 7 6 0.857142857
George R R Martin 7 51 7.285714286
Jo Nesbo 7 7 1
Charlaine Harris 7 11 1.571428571
Clive Cussler and Justin Scott 7 5 0.714285714
Julia Quinn 6 5 0.833333333
Sophie Kinsella 6 10 1.666666667
Mark Greaney 6 6 1
Katy Evans 6 3 0.5
Vi Keeland 6 4 0.666666667
Patricia Cornwell 6 11 1.833333333
Kathy Reichs 6 6 1
Karen Marie Moning 6 5 0.833333333
Mary Kay Andrews 6 11 1.833333333
BUSINESS INFORMATION SYSTEMS
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JR Ward 6 6 1
Janet Evanovich and Lee Goldberg 6 5 0.833333333
James Lee Burke 6 6 1
David Weber 6 3 0.5
Ace Atkins 6 3 0.5
James Patterson and Marshall Karp 6 22 3.666666667
Joanna Wylde 6 5 0.833333333
Jayne Castle 6 6 1
J Kenner 6 4 0.666666667
Alex Berenson 6 5 0.833333333
Linda Fairstein 5 2 0.4
Penelope Ward 5 9 1.8
Sue Grafton 5 16 3.2
Tijan 5 6 1.2
Kevin Hearne 5 3 0.6
Robert Crais 5 1 0.2
Kat Martin 5 4 0.8
Jude Deveraux 5 2 0.4
Linda Howard 5 4 0.8
Sarah MacLean 5 3 0.6
Lora Leigh 5 5 1
Jojo Moyes 5 5 1
Kim Harrison 5 5 1
Nelson DeMille 5 7 1.4
Julie Garwood 5 4 0.8
Jay Crownover 5 5 1
Adriana Trigiani 5 4 0.8
E L James 5 85 17
Bernard Cornwell 5 4 0.8
Diana Palmer 5 2 0.4
James Patterson and David Ellis 5 18 3.6
Emily Giffin 5 0 0
James Patterson and Mark Sullivan 5 19 3.8
Denise Grover Swank 5 3 0.6
14
JR Ward 6 6 1
Janet Evanovich and Lee Goldberg 6 5 0.833333333
James Lee Burke 6 6 1
David Weber 6 3 0.5
Ace Atkins 6 3 0.5
James Patterson and Marshall Karp 6 22 3.666666667
Joanna Wylde 6 5 0.833333333
Jayne Castle 6 6 1
J Kenner 6 4 0.666666667
Alex Berenson 6 5 0.833333333
Linda Fairstein 5 2 0.4
Penelope Ward 5 9 1.8
Sue Grafton 5 16 3.2
Tijan 5 6 1.2
Kevin Hearne 5 3 0.6
Robert Crais 5 1 0.2
Kat Martin 5 4 0.8
Jude Deveraux 5 2 0.4
Linda Howard 5 4 0.8
Sarah MacLean 5 3 0.6
Lora Leigh 5 5 1
Jojo Moyes 5 5 1
Kim Harrison 5 5 1
Nelson DeMille 5 7 1.4
Julie Garwood 5 4 0.8
Jay Crownover 5 5 1
Adriana Trigiani 5 4 0.8
E L James 5 85 17
Bernard Cornwell 5 4 0.8
Diana Palmer 5 2 0.4
James Patterson and David Ellis 5 18 3.6
Emily Giffin 5 0 0
James Patterson and Mark Sullivan 5 19 3.8
Denise Grover Swank 5 3 0.6
BUSINESS INFORMATION SYSTEMS
15
Iris Johansen and Roy Johansen 5 3 0.6
Gillian Flynn 5 1 0.2
Brandon Sanderson 5 8 1.6
Donna Leon 5 4 0.8
Craig Johnson 5 5 1
J Lynn 5 1 0.2
Reed Farrel Coleman 4 4 1
Rachel Van Dyken 4 7 1.75
Tami Hoag 4 3 0.75
Liane Moriarty 4 47 11.75
Raine Miller 4 3 0.75
Lincoln Child 4 4 1
Kristan Higgins 4 2 0.5
K Bromberg 4 2 0.5
John Irving 4 2 0.5
Mary Higgins Clark and Alafair Burke 4 4 1
Raeanne Thayne 4 3 0.75
Meghan March 4 4 1
Randy Wayne White 4 3 0.75
Michael Crichton 4 6 1.5
Stieg Larsson 4 31 7.75
Kay Hooper 4 1 0.25
Susan Wiggs 4 0 0
Neil Gaiman 4 10 2.5
Terry Goodkind 4 3 0.75
Ken Follett 4 9 2.25
Kendall Ryan 4 2 0.5
Kylie Scott 4 3 0.75
Alice Hoffman 4 1 0.25
Jennifer Weiner 4 3 0.75
Alan Bradley 4 3 0.75
Corinne Michaels 4 3 0.75
Audrey Carlan 4 0 0
Jane Green 4 2 0.5
15
Iris Johansen and Roy Johansen 5 3 0.6
Gillian Flynn 5 1 0.2
Brandon Sanderson 5 8 1.6
Donna Leon 5 4 0.8
Craig Johnson 5 5 1
J Lynn 5 1 0.2
Reed Farrel Coleman 4 4 1
Rachel Van Dyken 4 7 1.75
Tami Hoag 4 3 0.75
Liane Moriarty 4 47 11.75
Raine Miller 4 3 0.75
Lincoln Child 4 4 1
Kristan Higgins 4 2 0.5
K Bromberg 4 2 0.5
John Irving 4 2 0.5
Mary Higgins Clark and Alafair Burke 4 4 1
Raeanne Thayne 4 3 0.75
Meghan March 4 4 1
Randy Wayne White 4 3 0.75
Michael Crichton 4 6 1.5
Stieg Larsson 4 31 7.75
Kay Hooper 4 1 0.25
Susan Wiggs 4 0 0
Neil Gaiman 4 10 2.5
Terry Goodkind 4 3 0.75
Ken Follett 4 9 2.25
Kendall Ryan 4 2 0.5
Kylie Scott 4 3 0.75
Alice Hoffman 4 1 0.25
Jennifer Weiner 4 3 0.75
Alan Bradley 4 3 0.75
Corinne Michaels 4 3 0.75
Audrey Carlan 4 0 0
Jane Green 4 2 0.5
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BUSINESS INFORMATION SYSTEMS
16
Beth Kery 4 2 0.5
Brad Meltzer 4 7 1.75
Christopher Moore 4 3 0.75
Jennifer Ashley 4 1 0.25
Anne Rice 4 4 1
Elizabeth George 4 3 0.75
Joel C Rosenberg 4 3 0.75
Susan Stoker 3 1 0.333333333
Laurelin Paige 3 1 0.333333333
Tana French 3 5 1.666666667
Vince Flynn 3 14 4.666666667
Lisa Renee Jones 3 0 0
Lexi Blake 3 1 0.333333333
Sylvain Reynard 3 3 1
Kyra Davis 3 5 1.666666667
Tessa Dare 3 1 0.333333333
Melody Anne 3 2 0.666666667
Penelope Ward and Vi Keeland 3 1 0.333333333
Michael Brandman 3 2 0.666666667
Susan Elizabeth Phillips 3 2 0.666666667
Lara Adrian 3 2 0.666666667
M Leighton 3 1 0.333333333
Robert Galbraith 3 10 3.333333333
Nevada Barr 3 1 0.333333333
Robin Hobb 3 1 0.333333333
Maeve Binchy 3 8 2.666666667
Samantha Young 3 1 0.333333333
Tom Clancy with Mark Greaney 3 0 0
Sarah Addison Allen 3 1 0.333333333
Vi Keeland and Penelope Ward 3 5 1.666666667
Stephen Hunter 3 2 0.666666667
Mitch Albom 3 5 1.666666667
Pierce Brown 3 3 1
Chuck Wendig 3 3 1
16
Beth Kery 4 2 0.5
Brad Meltzer 4 7 1.75
Christopher Moore 4 3 0.75
Jennifer Ashley 4 1 0.25
Anne Rice 4 4 1
Elizabeth George 4 3 0.75
Joel C Rosenberg 4 3 0.75
Susan Stoker 3 1 0.333333333
Laurelin Paige 3 1 0.333333333
Tana French 3 5 1.666666667
Vince Flynn 3 14 4.666666667
Lisa Renee Jones 3 0 0
Lexi Blake 3 1 0.333333333
Sylvain Reynard 3 3 1
Kyra Davis 3 5 1.666666667
Tessa Dare 3 1 0.333333333
Melody Anne 3 2 0.666666667
Penelope Ward and Vi Keeland 3 1 0.333333333
Michael Brandman 3 2 0.666666667
Susan Elizabeth Phillips 3 2 0.666666667
Lara Adrian 3 2 0.666666667
M Leighton 3 1 0.333333333
Robert Galbraith 3 10 3.333333333
Nevada Barr 3 1 0.333333333
Robin Hobb 3 1 0.333333333
Maeve Binchy 3 8 2.666666667
Samantha Young 3 1 0.333333333
Tom Clancy with Mark Greaney 3 0 0
Sarah Addison Allen 3 1 0.333333333
Vi Keeland and Penelope Ward 3 5 1.666666667
Stephen Hunter 3 2 0.666666667
Mitch Albom 3 5 1.666666667
Pierce Brown 3 3 1
Chuck Wendig 3 3 1
BUSINESS INFORMATION SYSTEMS
17
Catherine Coulter and J T Ellison 3 2 0.666666667
Allison Brennan 3 2 0.666666667
Clive Cussler and Boyd Morrison 3 2 0.666666667
Chris Bohjalian 3 1 0.333333333
Ann Patchett 3 1 0.333333333
Ian McEwan 3 3 1
Dan Brown 3 20 6.666666667
Catherine Anderson 3 1 0.333333333
Anne Hillerman 3 3 1
Jason Matthews 3 7 2.333333333
David Mitchell 3 1 0.333333333
Harper Sloan 3 2 0.666666667
Deborah Harkness 3 7 2.333333333
HM Ward 3 2 0.666666667
Dennis Lehane 3 1 0.333333333
Jackie Collins 3 2 0.666666667
Aurora Rose Reynolds 3 2 0.666666667
James Patterson and Howard Roughan 3 5 1.666666667
Elizabeth Strout 3 6 2
Jan Karon 3 5 1.666666667
Elle Kennedy 3 3 1
Jasinda Wilder 3 5 1.666666667
Faye Kellerman 3 1 0.333333333
JC Reed 3 2 0.666666667
Alan Furst 3 3 1
Fredrik Backman 3 60 20
Greg Iles 3 3 1
Scott Turow 2 1 0.5
WEB Griffin and William E Butterworth IV 2 1 0.5
Kathleen Brooks 2 1 0.5
M S Force 2 0 0
Sabrina Jeffries 2 1 0.5
Mark Frost 2 1 0.5
Stuart Woods and Parnell Hall 2 2 1
17
Catherine Coulter and J T Ellison 3 2 0.666666667
Allison Brennan 3 2 0.666666667
Clive Cussler and Boyd Morrison 3 2 0.666666667
Chris Bohjalian 3 1 0.333333333
Ann Patchett 3 1 0.333333333
Ian McEwan 3 3 1
Dan Brown 3 20 6.666666667
Catherine Anderson 3 1 0.333333333
Anne Hillerman 3 3 1
Jason Matthews 3 7 2.333333333
David Mitchell 3 1 0.333333333
Harper Sloan 3 2 0.666666667
Deborah Harkness 3 7 2.333333333
HM Ward 3 2 0.666666667
Dennis Lehane 3 1 0.333333333
Jackie Collins 3 2 0.666666667
Aurora Rose Reynolds 3 2 0.666666667
James Patterson and Howard Roughan 3 5 1.666666667
Elizabeth Strout 3 6 2
Jan Karon 3 5 1.666666667
Elle Kennedy 3 3 1
Jasinda Wilder 3 5 1.666666667
Faye Kellerman 3 1 0.333333333
JC Reed 3 2 0.666666667
Alan Furst 3 3 1
Fredrik Backman 3 60 20
Greg Iles 3 3 1
Scott Turow 2 1 0.5
WEB Griffin and William E Butterworth IV 2 1 0.5
Kathleen Brooks 2 1 0.5
M S Force 2 0 0
Sabrina Jeffries 2 1 0.5
Mark Frost 2 1 0.5
Stuart Woods and Parnell Hall 2 2 1
BUSINESS INFORMATION SYSTEMS
18
Mary Alice Monroe 2 2 1
Jonathan Safran Foer 2 1 0.5
Karina Halle 2 3 1.5
Ruth Ware 2 38 19
Meredith Wild 2 2 1
Lisa Jewell 2 2 1
Michael Chabon 2 1 0.5
Stephenie Meyer 2 6 3
Michael Prescott 2 0 0
Lisa See 2 1 0.5
Neal Stephenson 2 1 0.5
Ted Bell 2 0 0
P D James 2 1 0.5
Louise Erdrich 2 0 0
Laura Kaye 2 0 0
Rupi Kaur 2 72 36
Patrick Rothfuss 2 1 0.5
S C Stephens 2 1 0.5
Paula Hawkins 2 115 57.5
Sara Gruen 2 0 0
Paula McLain 2 4 2
Sawyer Bennett 2 1 0.5
Paulo Coelho 2 6 3
SL Jennings 2 0 0
Pepper Winters 2 1 0.5
Steve Martini 2 0 0
JS Cooper and Helen Cooper 2 0 0
Jonathan Kellerman and Jesse Kellerman 2 2 1
R L Mathewson 2 1 0.5
Susanna Kearsley 2 1 0.5
Rachel Gibson 2 2 1
John Lescroart 2 2 1
Justin Cronin 2 3 1.5
Terry Brooks 2 2 1
18
Mary Alice Monroe 2 2 1
Jonathan Safran Foer 2 1 0.5
Karina Halle 2 3 1.5
Ruth Ware 2 38 19
Meredith Wild 2 2 1
Lisa Jewell 2 2 1
Michael Chabon 2 1 0.5
Stephenie Meyer 2 6 3
Michael Prescott 2 0 0
Lisa See 2 1 0.5
Neal Stephenson 2 1 0.5
Ted Bell 2 0 0
P D James 2 1 0.5
Louise Erdrich 2 0 0
Laura Kaye 2 0 0
Rupi Kaur 2 72 36
Patrick Rothfuss 2 1 0.5
S C Stephens 2 1 0.5
Paula Hawkins 2 115 57.5
Sara Gruen 2 0 0
Paula McLain 2 4 2
Sawyer Bennett 2 1 0.5
Paulo Coelho 2 6 3
SL Jennings 2 0 0
Pepper Winters 2 1 0.5
Steve Martini 2 0 0
JS Cooper and Helen Cooper 2 0 0
Jonathan Kellerman and Jesse Kellerman 2 2 1
R L Mathewson 2 1 0.5
Susanna Kearsley 2 1 0.5
Rachel Gibson 2 2 1
John Lescroart 2 2 1
Justin Cronin 2 3 1.5
Terry Brooks 2 2 1
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19
Kate Atkinson 2 0 0
Terry Pratchett 2 2 1
Kate Morton 2 2 1
Kyle Mills 2 4 2
Kerrelyn Sparks 2 0 0
Whitney Gracia Williams 2 0 0
Rob Thomas and Jennifer Graham 2 2 1
Robert Jordan and Brandon Sanderson 2 3 1.5
James Patterson with Max DiLallo 2 3 1.5
Jean Hanff Korelitz 2 2 1
Catherine Coulter and JT Ellison 2 1 0.5
Faith Hunter 2 1 0.5
James Patterson and Emily Raymond 2 1 0.5
Fannie Flagg 2 1 0.5
James S A Corey 2 1 0.5
Anne Bishop 2 2 1
Emma Chase 2 2 1
Darynda Jones 2 0 0
James Patterson and Candice Fox 2 8 4
Clive Cussler and Robin Burcell 2 1 0.5
Barbara Delinsky 2 0 0
Gail McHugh 2 3 1.5
James Rollins and Grant Blackwood 2 1 0.5
George Saunders 2 2 1
Jana Aston 2 0 0
Glenn Beck 2 1 0.5
Celeste Ng 2 32 16
Grant Blackwood 2 4 2
Joe Hill 2 0 0
Jennifer Probst 2 18 9
Jennifer Egan 2 3 1.5
Alessandra Torre 2 2 1
Carl Hiaasen 2 0 0
David Lagercrantz 2 17 8.5
19
Kate Atkinson 2 0 0
Terry Pratchett 2 2 1
Kate Morton 2 2 1
Kyle Mills 2 4 2
Kerrelyn Sparks 2 0 0
Whitney Gracia Williams 2 0 0
Rob Thomas and Jennifer Graham 2 2 1
Robert Jordan and Brandon Sanderson 2 3 1.5
James Patterson with Max DiLallo 2 3 1.5
Jean Hanff Korelitz 2 2 1
Catherine Coulter and JT Ellison 2 1 0.5
Faith Hunter 2 1 0.5
James Patterson and Emily Raymond 2 1 0.5
Fannie Flagg 2 1 0.5
James S A Corey 2 1 0.5
Anne Bishop 2 2 1
Emma Chase 2 2 1
Darynda Jones 2 0 0
James Patterson and Candice Fox 2 8 4
Clive Cussler and Robin Burcell 2 1 0.5
Barbara Delinsky 2 0 0
Gail McHugh 2 3 1.5
James Rollins and Grant Blackwood 2 1 0.5
George Saunders 2 2 1
Jana Aston 2 0 0
Glenn Beck 2 1 0.5
Celeste Ng 2 32 16
Grant Blackwood 2 4 2
Joe Hill 2 0 0
Jennifer Probst 2 18 9
Jennifer Egan 2 3 1.5
Alessandra Torre 2 2 1
Carl Hiaasen 2 0 0
David Lagercrantz 2 17 8.5
BUSINESS INFORMATION SYSTEMS
20
Clive Cussler and Dirk Cussler 2 0 0
Haruki Murakami 2 2 1
James Patterson and Richard DiLallo 2 3 1.5
Jodi Ellen Malpas 2 2 1
James Patterson with Maxine Paetro 2 1 0.5
Clive Cussler and Russell Blake 2 1 0.5
James Rollins and Rebecca Cantrell 2 0 0
Clive Cussler and Thomas Perry 2 0 0
Andy Weir 2 6 3
Hugh Howey 2 3 1.5
Anna Quindlen 2 0 0
Clive Cussler with Jack Du Brul 2 0 0
Janet Evanovich and Dorien Kelly 2 1 0.5
Brent Weeks 2 2 1
Janet Evanovich and Phoef Sutton 2 4 2
J S Cooper and Helen Cooper 2 3 1.5
Emma Straub 2 0 0
J S Scott 2 1 0.5
JD Robb 2 6 3
Jaci Burton 2 0 0
Johanna Lindsey 2 1 0.5
Diane Mott Davidson 2 2 1
Ernest Cline 2 25 12.5
Anthony Ryan 2 0 0
Amy Tan 2 4 2
Tara Sue Me 1 1 1
Stacy Borel 1 0 0
Jonathan Tropper 1 0 0
Lene Kaaberbol 1 4 4
Sue Monk Kidd 1 0 0
Molly McAdams 1 0 0
Karen Thompson Walker 1 0 0
N K Jemisin 1 1 1
Shayla Black and others 1 1 1
20
Clive Cussler and Dirk Cussler 2 0 0
Haruki Murakami 2 2 1
James Patterson and Richard DiLallo 2 3 1.5
Jodi Ellen Malpas 2 2 1
James Patterson with Maxine Paetro 2 1 0.5
Clive Cussler and Russell Blake 2 1 0.5
James Rollins and Rebecca Cantrell 2 0 0
Clive Cussler and Thomas Perry 2 0 0
Andy Weir 2 6 3
Hugh Howey 2 3 1.5
Anna Quindlen 2 0 0
Clive Cussler with Jack Du Brul 2 0 0
Janet Evanovich and Dorien Kelly 2 1 0.5
Brent Weeks 2 2 1
Janet Evanovich and Phoef Sutton 2 4 2
J S Cooper and Helen Cooper 2 3 1.5
Emma Straub 2 0 0
J S Scott 2 1 0.5
JD Robb 2 6 3
Jaci Burton 2 0 0
Johanna Lindsey 2 1 0.5
Diane Mott Davidson 2 2 1
Ernest Cline 2 25 12.5
Anthony Ryan 2 0 0
Amy Tan 2 4 2
Tara Sue Me 1 1 1
Stacy Borel 1 0 0
Jonathan Tropper 1 0 0
Lene Kaaberbol 1 4 4
Sue Monk Kidd 1 0 0
Molly McAdams 1 0 0
Karen Thompson Walker 1 0 0
N K Jemisin 1 1 1
Shayla Black and others 1 1 1
BUSINESS INFORMATION SYSTEMS
21
Yann Martel 1 12 12
Margaret Atwood 1 27 27
Zadie Smith 1 0 0
Sydney Landon 1 1 1
Lev Grossman 1 1 1
Michael Ponsor 1 0 0
Nathan Hill 1 0 0
Tom Wolfe 1 1 1
Marilynne Robinson 1 0 0
WEB Griffin and William E Butterworth 1 1 1
Laura Griffin 1 1 1
Sister Souljah 1 0 0
Kazuo Ishiguro 1 1 1
Katee Robert 1 0 0
Leylah Attar 1 0 0
Lisa Lutz 1 0 0
Kelley R Martin 1 0 0
Lisa Wingate 1 35 35
Nicole Edwards 1 0 0
Lorena McCourtney 1 0 0
Noah Hawley 1 0 0
Taylor Stevens 1 0 0
JS Cooper 1 1 1
Kristen Callihan 1 0 0
Olen Steinhauer 1 1 1
Kathleen Grissom 1 1 1
Wm Paul Young 1 0 0
Troy Denning 1 1 1
Orson Scott Card 1 0 0
Violet Duke 1 0 0
Marisha Pessl 1 1 1
Milly Taiden 1 0 0
P J Alderman 1 2 2
Judith Merkle Riley 1 1 1
21
Yann Martel 1 12 12
Margaret Atwood 1 27 27
Zadie Smith 1 0 0
Sydney Landon 1 1 1
Lev Grossman 1 1 1
Michael Ponsor 1 0 0
Nathan Hill 1 0 0
Tom Wolfe 1 1 1
Marilynne Robinson 1 0 0
WEB Griffin and William E Butterworth 1 1 1
Laura Griffin 1 1 1
Sister Souljah 1 0 0
Kazuo Ishiguro 1 1 1
Katee Robert 1 0 0
Leylah Attar 1 0 0
Lisa Lutz 1 0 0
Kelley R Martin 1 0 0
Lisa Wingate 1 35 35
Nicole Edwards 1 0 0
Lorena McCourtney 1 0 0
Noah Hawley 1 0 0
Taylor Stevens 1 0 0
JS Cooper 1 1 1
Kristen Callihan 1 0 0
Olen Steinhauer 1 1 1
Kathleen Grissom 1 1 1
Wm Paul Young 1 0 0
Troy Denning 1 1 1
Orson Scott Card 1 0 0
Violet Duke 1 0 0
Marisha Pessl 1 1 1
Milly Taiden 1 0 0
P J Alderman 1 2 2
Judith Merkle Riley 1 1 1
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BUSINESS INFORMATION SYSTEMS
22
Pam Jenoff 1 1 1
Lauren Weisberger 1 0 0
Kelly Elliott 1 0 0
Stephanie Dray and Laura Kamoie 1 0 0
Madeline Miller 1 1 1
Stephen King and Owen King 1 5 5
Kathryn Stockett 1 58 58
Steve Hamilton 1 0 0
Paul Beatty 1 0 0
Laurie R King 1 0 0
Mark Helprin 1 0 0
Julian Barnes 1 1 1
Martha Hall Kelly 1 20 20
John Sandford and Ctein 1 1 1
Martin Cruz Smith 1 0 0
Michael Ondaatje 1 1 1
Penelope Douglas 1 1 1
Tanya Anne Cros, Danelle Harmon, Lauren
Royal and Cynthia Wright 1 1 1
Penelope Sky 1 1 1
Tawny Weber 1 0 0
Liliana Hart 1 0 0
Michael Palmer 1 0 0
Laura Lippman 1 0 0
Terry McMillan 1 0 0
Larissa Ione 1 0 0
Michael Robotham 1 1 1
Peter V Brett 1 1 1
Tina Reber 1 1 1
Phil Klay 1 1 1
Tom Hanks 1 2 2
Philip K Dick 1 0 0
Tracey Garvis-Graves 1 9 9
Mary Ann Shaffer and Annie Barrows 1 0 0
22
Pam Jenoff 1 1 1
Lauren Weisberger 1 0 0
Kelly Elliott 1 0 0
Stephanie Dray and Laura Kamoie 1 0 0
Madeline Miller 1 1 1
Stephen King and Owen King 1 5 5
Kathryn Stockett 1 58 58
Steve Hamilton 1 0 0
Paul Beatty 1 0 0
Laurie R King 1 0 0
Mark Helprin 1 0 0
Julian Barnes 1 1 1
Martha Hall Kelly 1 20 20
John Sandford and Ctein 1 1 1
Martin Cruz Smith 1 0 0
Michael Ondaatje 1 1 1
Penelope Douglas 1 1 1
Tanya Anne Cros, Danelle Harmon, Lauren
Royal and Cynthia Wright 1 1 1
Penelope Sky 1 1 1
Tawny Weber 1 0 0
Liliana Hart 1 0 0
Michael Palmer 1 0 0
Laura Lippman 1 0 0
Terry McMillan 1 0 0
Larissa Ione 1 0 0
Michael Robotham 1 1 1
Peter V Brett 1 1 1
Tina Reber 1 1 1
Phil Klay 1 1 1
Tom Hanks 1 2 2
Philip K Dick 1 0 0
Tracey Garvis-Graves 1 9 9
Mary Ann Shaffer and Annie Barrows 1 0 0
BUSINESS INFORMATION SYSTEMS
23
VC Andrews 1 1 1
William R Forstchen 1 0 0
M L Stedman 1 0 0
Linda Castillo 1 1 1
Michael Savage 1 0 0
Junot DÌ_az 1 1 1
Whitney G 1 1 1
Katie Ashley 1 1 1
Shayla Black and Lexi Blake 1 0 0
Rachel Hauck 1 0 0
Shelley Noble 1 0 0
Rachel Joyce 1 0 0
Judy Blume 1 0 0
Marc Cameron 1 4 4
Skye Eagleday 1 0 0
Karen Cleveland 1 1 1
Kim van Alkemade 1 1 1
Mary Kubica 1 2 2
Stephanie Danler 1 0 0
Raine Miller, Cathryn Fox and others 1 1 1
Kimberly McCreight 1 1 1
Jonathan Franzen 1 2 2
Julia Kent 1 1 1
Rebecca Zanetti 1 0 0
Stephen King and Richard Chizmar 1 1 1
Lisa Genova 1 0 0
KM Scott 1 1 1
Matthew Quick 1 13 13
Mia Sheridan 1 1 1
Richard North Patterson 1 0 0
John le Carre 1 1 1
John le Carré 1 3 3
Laura Moriarty 1 1 1
Richard Price writing as Harry Brandt 1 1 1
23
VC Andrews 1 1 1
William R Forstchen 1 0 0
M L Stedman 1 0 0
Linda Castillo 1 1 1
Michael Savage 1 0 0
Junot DÌ_az 1 1 1
Whitney G 1 1 1
Katie Ashley 1 1 1
Shayla Black and Lexi Blake 1 0 0
Rachel Hauck 1 0 0
Shelley Noble 1 0 0
Rachel Joyce 1 0 0
Judy Blume 1 0 0
Marc Cameron 1 4 4
Skye Eagleday 1 0 0
Karen Cleveland 1 1 1
Kim van Alkemade 1 1 1
Mary Kubica 1 2 2
Stephanie Danler 1 0 0
Raine Miller, Cathryn Fox and others 1 1 1
Kimberly McCreight 1 1 1
Jonathan Franzen 1 2 2
Julia Kent 1 1 1
Rebecca Zanetti 1 0 0
Stephen King and Richard Chizmar 1 1 1
Lisa Genova 1 0 0
KM Scott 1 1 1
Matthew Quick 1 13 13
Mia Sheridan 1 1 1
Richard North Patterson 1 0 0
John le Carre 1 1 1
John le Carré 1 3 3
Laura Moriarty 1 1 1
Richard Price writing as Harry Brandt 1 1 1
BUSINESS INFORMATION SYSTEMS
24
Maria Semple 1 0 0
Richard Russo 1 2 2
Joyce Maynard 1 3 3
Matthew Thomas 1 1 1
Susan Wilson 1 0 0
Robert B Parker 1 0 0
Suzanne Brockmann 1 0 0
Kevin Kwan 1 1 1
Michael Crichton and Richard Preston 1 0 0
Kate Quinn 1 1 1
Téa Obreht 1 0 0
Wiley Cash 1 1 1
Loretta Chase 1 0 0
William Kent Krueger 1 0 0
Tara Conklin 1 1 1
William P Young 1 13 13
Tatiana de Rosnay 1 0 0
Max Brooks 1 8 8
Tayari Jones 1 8 8
Joseph Fink and Jeffrey Cranor 1 1 1
Tea Obreht 1 1 1
Ryan Winfield 1 2 2
Ted Dekker 1 1 1
Maya Cross 1 1 1
Joseph Finder 1 1 1
S J Watson 1 2 2
Michael Punke 1 8 8
Meg Waite Clayton 1 0 0
Tessa Bailey 1 0 0
Samantha Shannon 1 1 1
Thomas Pynchon 1 1 1
Lisa Jackson, Nancy Bush and Rosalind
Noonan 1 1 1
Timothy Zahn 1 1 1
24
Maria Semple 1 0 0
Richard Russo 1 2 2
Joyce Maynard 1 3 3
Matthew Thomas 1 1 1
Susan Wilson 1 0 0
Robert B Parker 1 0 0
Suzanne Brockmann 1 0 0
Kevin Kwan 1 1 1
Michael Crichton and Richard Preston 1 0 0
Kate Quinn 1 1 1
Téa Obreht 1 0 0
Wiley Cash 1 1 1
Loretta Chase 1 0 0
William Kent Krueger 1 0 0
Tara Conklin 1 1 1
William P Young 1 13 13
Tatiana de Rosnay 1 0 0
Max Brooks 1 8 8
Tayari Jones 1 8 8
Joseph Fink and Jeffrey Cranor 1 1 1
Tea Obreht 1 1 1
Ryan Winfield 1 2 2
Ted Dekker 1 1 1
Maya Cross 1 1 1
Joseph Finder 1 1 1
S J Watson 1 2 2
Michael Punke 1 8 8
Meg Waite Clayton 1 0 0
Tessa Bailey 1 0 0
Samantha Shannon 1 1 1
Thomas Pynchon 1 1 1
Lisa Jackson, Nancy Bush and Rosalind
Noonan 1 1 1
Timothy Zahn 1 1 1
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BUSINESS INFORMATION SYSTEMS
25
Sandi Lynn 1 1 1
Tom Clancy with Grant Blackwood 1 4 4
Khaled Hosseini 1 0 0
Tom Clancy with Peter Telep 1 0 0
Meg Wolitzer 1 1 1
Tom Perrotta 1 0 0
Lauren Groff 1 0 0
Toni Morrison 1 0 0
Sarah Blake 1 0 0
Tracy Wolff 1 1 1
Sarah Jio 1 1 1
Umberto Eco 1 0 0
Junot DÃaz 1 1 1
Lucy Kevin 1 0 0
Sarah McCoy 1 0 0
Victoria Ashley 1 0 0
Sarah Waters 1 0 0
Vince Flynn and Kyle Mills 1 6 6
Melanie Benjamin 1 0 0
W Bruce Cameron 1 18 18
Melanie Marchande 1 2 2
Wally Lamb 1 0 0
Seth Grahame-Smith 1 5 5
Michelle Gable 1 0 0
SH Kolee 1 0 0
Mike Maden 1 2 2
Shanora Williams 1 1 1
Shari Lapena 1 3 3
William Landay 1 13 13
Lisa Jackson and Nancy Bush 1 2 2
Karen White 1 1 1
JS Scott, M Malone and others 1 1 1
R A Salvatore 1 0 0
Opal Carew and others 1 0 0
25
Sandi Lynn 1 1 1
Tom Clancy with Grant Blackwood 1 4 4
Khaled Hosseini 1 0 0
Tom Clancy with Peter Telep 1 0 0
Meg Wolitzer 1 1 1
Tom Perrotta 1 0 0
Lauren Groff 1 0 0
Toni Morrison 1 0 0
Sarah Blake 1 0 0
Tracy Wolff 1 1 1
Sarah Jio 1 1 1
Umberto Eco 1 0 0
Junot DÃaz 1 1 1
Lucy Kevin 1 0 0
Sarah McCoy 1 0 0
Victoria Ashley 1 0 0
Sarah Waters 1 0 0
Vince Flynn and Kyle Mills 1 6 6
Melanie Benjamin 1 0 0
W Bruce Cameron 1 18 18
Melanie Marchande 1 2 2
Wally Lamb 1 0 0
Seth Grahame-Smith 1 5 5
Michelle Gable 1 0 0
SH Kolee 1 0 0
Mike Maden 1 2 2
Shanora Williams 1 1 1
Shari Lapena 1 3 3
William Landay 1 13 13
Lisa Jackson and Nancy Bush 1 2 2
Karen White 1 1 1
JS Scott, M Malone and others 1 1 1
R A Salvatore 1 0 0
Opal Carew and others 1 0 0
BUSINESS INFORMATION SYSTEMS
26
Zane 1 1 1
Nancy C Johnson 1 0 0
Nancy Thayer 1 0 0
Elisabeth Naughton 1 3 3
James Patterson and Ashwin Sanghi 1 1 1
CJ Box 1 2 2
Curtis Sittenfeld 1 0 0
James Patterson and others 1 1 1
Cynthia D'Aprix Sweeney 1 11 11
Alan Dean Foster 1 2 2
CJ Lyons 1 5 5
Colm Toibin 1 1 1
Eva Natiello 1 0 0
James Patterson and Kathryn Fox 1 3 3
Angela Graham 1 0 0
Catherine Bybee 1 0 0
Clare Mackintosh 1 1 1
Jasmine Walt 1 0 0
Darcie Chan 1 12 12
Jeannette Walls 1 0 0
Claudia Gray 1 1 1
Chris Pavone 1 1 1
Fiona Barton 1 0 0
James Hayman 1 0 0
Francine Rivers 1 1 1
Cora Carmack 1 0 0
Frederick Forsyth 1 0 0
Cassia Leo 1 0 0
Dave Eggers 1 1 1
edited David Baldacci 1 0 0
G A Aiken 1 0 0
James Wesley, Rawles 1 1 1
Gabbie Hanna 1 1 1
Elizabeth Gilbert 1 0 0
26
Zane 1 1 1
Nancy C Johnson 1 0 0
Nancy Thayer 1 0 0
Elisabeth Naughton 1 3 3
James Patterson and Ashwin Sanghi 1 1 1
CJ Box 1 2 2
Curtis Sittenfeld 1 0 0
James Patterson and others 1 1 1
Cynthia D'Aprix Sweeney 1 11 11
Alan Dean Foster 1 2 2
CJ Lyons 1 5 5
Colm Toibin 1 1 1
Eva Natiello 1 0 0
James Patterson and Kathryn Fox 1 3 3
Angela Graham 1 0 0
Catherine Bybee 1 0 0
Clare Mackintosh 1 1 1
Jasmine Walt 1 0 0
Darcie Chan 1 12 12
Jeannette Walls 1 0 0
Claudia Gray 1 1 1
Chris Pavone 1 1 1
Fiona Barton 1 0 0
James Hayman 1 0 0
Francine Rivers 1 1 1
Cora Carmack 1 0 0
Frederick Forsyth 1 0 0
Cassia Leo 1 0 0
Dave Eggers 1 1 1
edited David Baldacci 1 0 0
G A Aiken 1 0 0
James Wesley, Rawles 1 1 1
Gabbie Hanna 1 1 1
Elizabeth Gilbert 1 0 0
BUSINESS INFORMATION SYSTEMS
27
Gabriel Tallent 1 1 1
Chad Harbach 1 0 0
Gabrielle Zevin 1 1 1
Courtney Milan 1 0 0
Clive Cussler 1 2 2
Jen McLaughlin 1 1 1
Garth Risk Hallberg 1 1 1
Jessica Knoll 1 0 0
Garth Stein 1 1 1
Christine Feehan, Maggie Shayne and Lori
Herter 1 1 1
Bella Andre and Jennifer Skully 1 1 1
Don Winslow 1 1 1
Gennita Low 1 0 0
James Luceno 1 1 1
George Pelecanos 1 1 1
Abraham Verghese 1 0 0
Bella Andre, Barbara Freethy and others 1 1 1
James Patterson and Jassy Mackenzie 1 1 1
Clive Cussler with Grant Blackwood 1 0 0
Carly Phillips 1 0 0
Georgia Cates 1 2 2
James Patterson and Michael White 1 4 4
Aleatha Romig 1 1 1
James Patterson and Rees Jones 1 1 1
Gilly Macmillan 1 1 1
James Patterson with Michael Ledwidge 1 1 1
Gina L Maxwell 1 2 2
Eleanor Catton 1 0 0
Cindy Gerard 1 0 0
Allison Pataki 1 0 0
Glenn Beck with Harriet Parke 1 0 0
Elisabeth Naughton and others 1 0 0
Graeme Simsion 1 5 5
27
Gabriel Tallent 1 1 1
Chad Harbach 1 0 0
Gabrielle Zevin 1 1 1
Courtney Milan 1 0 0
Clive Cussler 1 2 2
Jen McLaughlin 1 1 1
Garth Risk Hallberg 1 1 1
Jessica Knoll 1 0 0
Garth Stein 1 1 1
Christine Feehan, Maggie Shayne and Lori
Herter 1 1 1
Bella Andre and Jennifer Skully 1 1 1
Don Winslow 1 1 1
Gennita Low 1 0 0
James Luceno 1 1 1
George Pelecanos 1 1 1
Abraham Verghese 1 0 0
Bella Andre, Barbara Freethy and others 1 1 1
James Patterson and Jassy Mackenzie 1 1 1
Clive Cussler with Grant Blackwood 1 0 0
Carly Phillips 1 0 0
Georgia Cates 1 2 2
James Patterson and Michael White 1 4 4
Aleatha Romig 1 1 1
James Patterson and Rees Jones 1 1 1
Gilly Macmillan 1 1 1
James Patterson with Michael Ledwidge 1 1 1
Gina L Maxwell 1 2 2
Eleanor Catton 1 0 0
Cindy Gerard 1 0 0
Allison Pataki 1 0 0
Glenn Beck with Harriet Parke 1 0 0
Elisabeth Naughton and others 1 0 0
Graeme Simsion 1 5 5
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BUSINESS INFORMATION SYSTEMS
28
Elle James 1 0 0
David Nicholls 1 0 0
Jason Fry 1 1 1
Greer Hendricks and Sarah Pekkanen 1 8 8
Charles Portis 1 0 0
AJ Finn 1 15 15
JD Robb and others 1 0 0
Gregg Olsen 1 1 1
Cherise Sinclair 1 0 0
Gregory Maguire 1 0 0
Chloe Benjamin 1 1 1
Guillermo del Toro and Chuck Hogan 1 1 1
Emma Donoghue 1 0 0
Gwynn White and various authors 1 1 1
Jesmyn Ward 1 1 1
Beth Kerry 1 0 0
Jessica Wood 1 0 0
H P Mallory 1 1 1
Amor Towles 1 0 0
Anne Rivers Siddons 1 1 1
JA Redmerski 1 4 4
Harper Lee 1 16 16
Jack Higgins 1 0 0
Anne Tyler 1 0 0
C J Box 1 1 1
Annette Blair and others 1 1 1
C D Reiss 1 0 0
Hazel Gaynor 1 2 2
Colson Whitehead 1 16 16
Anita Shreve 1 1 1
Donna Tartt 1 0 0
Delilah Devlin, Sharon Hamilton and others 1 1 1
Douglas E Richards 1 1 1
Helen Cooper 1 1 1
28
Elle James 1 0 0
David Nicholls 1 0 0
Jason Fry 1 1 1
Greer Hendricks and Sarah Pekkanen 1 8 8
Charles Portis 1 0 0
AJ Finn 1 15 15
JD Robb and others 1 0 0
Gregg Olsen 1 1 1
Cherise Sinclair 1 0 0
Gregory Maguire 1 0 0
Chloe Benjamin 1 1 1
Guillermo del Toro and Chuck Hogan 1 1 1
Emma Donoghue 1 0 0
Gwynn White and various authors 1 1 1
Jesmyn Ward 1 1 1
Beth Kerry 1 0 0
Jessica Wood 1 0 0
H P Mallory 1 1 1
Amor Towles 1 0 0
Anne Rivers Siddons 1 1 1
JA Redmerski 1 4 4
Harper Lee 1 16 16
Jack Higgins 1 0 0
Anne Tyler 1 0 0
C J Box 1 1 1
Annette Blair and others 1 1 1
C D Reiss 1 0 0
Hazel Gaynor 1 2 2
Colson Whitehead 1 16 16
Anita Shreve 1 1 1
Donna Tartt 1 0 0
Delilah Devlin, Sharon Hamilton and others 1 1 1
Douglas E Richards 1 1 1
Helen Cooper 1 1 1
BUSINESS INFORMATION SYSTEMS
29
James Patterson and James O Born 1 3 3
Helen Fielding 1 0 0
James Patterson and Jeffrey J Keyes 1 1 1
Blake Crouch 1 0 0
James Patterson and Mark Pearson 1 0 0
Helen Simonson 1 1 1
Caroline Leavitt 1 0 0
Helena Hunting 1 0 0
Drew Karpyshyn 1 1 1
Helene Wecker 1 1 1
James Patterson and Neil McMahon 1 4 4
Henning Mankell 1 1 1
James Patterson and Peter De Jonge 1 0 0
Herman Koch 1 0 0
Ayana Mathis 1 0 0
Hilary Mantel 1 1 1
Edward Rutherfurd 1 1 1
Annie Barrows 1 0 0
James Patterson with Richard DiLallo 1 0 0
Colleen Hoover and Tarryn Fisher 1 1 1
EL James 1 9 9
Imbolo Mbue 1 1 1
Elena Ferrante 1 0 0
Annie Proulx 1 0 0
Jamie Ford 1 1 1
Ian McGuire 1 1 1
B A Paris 1 2 2
Aaron Allston 1 1 1
Jana DeLeon and others 1 1 1
Irene Zatko 1 0 0
Cora Seton and others 1 0 0
Brad Meltzer and Tod Goldberg 1 1 1
Ann Brashares 1 1 1
Addison Moore 1 4 4
29
James Patterson and James O Born 1 3 3
Helen Fielding 1 0 0
James Patterson and Jeffrey J Keyes 1 1 1
Blake Crouch 1 0 0
James Patterson and Mark Pearson 1 0 0
Helen Simonson 1 1 1
Caroline Leavitt 1 0 0
Helena Hunting 1 0 0
Drew Karpyshyn 1 1 1
Helene Wecker 1 1 1
James Patterson and Neil McMahon 1 4 4
Henning Mankell 1 1 1
James Patterson and Peter De Jonge 1 0 0
Herman Koch 1 0 0
Ayana Mathis 1 0 0
Hilary Mantel 1 1 1
Edward Rutherfurd 1 1 1
Annie Barrows 1 0 0
James Patterson with Richard DiLallo 1 0 0
Colleen Hoover and Tarryn Fisher 1 1 1
EL James 1 9 9
Imbolo Mbue 1 1 1
Elena Ferrante 1 0 0
Annie Proulx 1 0 0
Jamie Ford 1 1 1
Ian McGuire 1 1 1
B A Paris 1 2 2
Aaron Allston 1 1 1
Jana DeLeon and others 1 1 1
Irene Zatko 1 0 0
Cora Seton and others 1 0 0
Brad Meltzer and Tod Goldberg 1 1 1
Ann Brashares 1 1 1
Addison Moore 1 4 4
BUSINESS INFORMATION SYSTEMS
30
Courtney Cole 1 2 2
Isaac Marion 1 0 0
Jasmine Walt and Rebecca Hamilton 1 1 1
Isabel Allende 1 0 0
Elmore Leonard 1 0 0
J A Huss 1 1 1
Aimee Molloy 1 1 1
Alice Clayton 1 1 1
JB Salsbury 1 0 0
J A Redmerski 1 1 1
Barbara Kingsolver 1 0 0
J Courtney Sullivan 1 0 0
JD Robb, Mary Blayney, Patricia Gaffney,
Ruth Ryan Langan and Mary Kay McComas 1 0 0
A S A Harrison 1 0 0
Jean M Auel 1 5 5
J D Robb and others 1 1 1
Jeanne Glidewell 1 0 0
J Daniels 1 1 1
Cherrie Lynn 1 0 0
J K Rowling 1 0 0
Jeffrey Eugenides 1 0 0
Anthony Doerr 1 81 81
Emma Cline 1 8 8
Brian McGilloway 1 5 5
Jennifer McMahon 1 1 1
J P Delaney 1 3 3
Chris Cleave 1 0 0
Bryan Reardon 1 1 1
Jess Walter 1 1 1
J S Cooper 1 0 0
Chris Culver 1 0 0
Diane Capri, J Carson Black and others 1 0 0
Jhumpa Lahiri 1 0 0
30
Courtney Cole 1 2 2
Isaac Marion 1 0 0
Jasmine Walt and Rebecca Hamilton 1 1 1
Isabel Allende 1 0 0
Elmore Leonard 1 0 0
J A Huss 1 1 1
Aimee Molloy 1 1 1
Alice Clayton 1 1 1
JB Salsbury 1 0 0
J A Redmerski 1 1 1
Barbara Kingsolver 1 0 0
J Courtney Sullivan 1 0 0
JD Robb, Mary Blayney, Patricia Gaffney,
Ruth Ryan Langan and Mary Kay McComas 1 0 0
A S A Harrison 1 0 0
Jean M Auel 1 5 5
J D Robb and others 1 1 1
Jeanne Glidewell 1 0 0
J Daniels 1 1 1
Cherrie Lynn 1 0 0
J K Rowling 1 0 0
Jeffrey Eugenides 1 0 0
Anthony Doerr 1 81 81
Emma Cline 1 8 8
Brian McGilloway 1 5 5
Jennifer McMahon 1 1 1
J P Delaney 1 3 3
Chris Cleave 1 0 0
Bryan Reardon 1 1 1
Jess Walter 1 1 1
J S Cooper 1 0 0
Chris Culver 1 0 0
Diane Capri, J Carson Black and others 1 0 0
Jhumpa Lahiri 1 0 0
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BUSINESS INFORMATION SYSTEMS
31
Diane Chamberlain 1 0 0
Christina Baker Kline 1 0 0
J S Scott and others 1 0 0
Amy Harmon 1 1 1
J‰ÛäS Cooper and Helen Cooper 1 0 0
Eric Rickstad 1 0 0
JA Jance 1 1 1
Beverly Lewis 1 0 0
Heidi McLaughlin 1 1 1
Eric Van Lustbader 1 0 0
A L Jackson 1 0 0
Erin Morgenstern 1 0 0
Grand Total 2249 3672 1.632725656
Author Danielle Steel
Row Labels Sum of Weeks on list
44 CHARLES STREET 2
A PERFECT LIFE 0
ACCIDENTAL HEROES 2
AGAINST ALL ODDS 2
BETRAYAL 0
BLUE 0
COUNTRY 0
DANGEROUS GAMES 2
FAIRYTALE 2
FALL FROM GRACE 2
FIRST SIGHT 2
FRIENDS FOREVER 0
HAPPY BIRTHDAY 0
HOTEL VENDOME 0
MAGIC 3
31
Diane Chamberlain 1 0 0
Christina Baker Kline 1 0 0
J S Scott and others 1 0 0
Amy Harmon 1 1 1
J‰ÛäS Cooper and Helen Cooper 1 0 0
Eric Rickstad 1 0 0
JA Jance 1 1 1
Beverly Lewis 1 0 0
Heidi McLaughlin 1 1 1
Eric Van Lustbader 1 0 0
A L Jackson 1 0 0
Erin Morgenstern 1 0 0
Grand Total 2249 3672 1.632725656
Author Danielle Steel
Row Labels Sum of Weeks on list
44 CHARLES STREET 2
A PERFECT LIFE 0
ACCIDENTAL HEROES 2
AGAINST ALL ODDS 2
BETRAYAL 0
BLUE 0
COUNTRY 0
DANGEROUS GAMES 2
FAIRYTALE 2
FALL FROM GRACE 2
FIRST SIGHT 2
FRIENDS FOREVER 0
HAPPY BIRTHDAY 0
HOTEL VENDOME 0
MAGIC 3
BUSINESS INFORMATION SYSTEMS
32
PAST PERFECT 1
PEGASUS 1
POWER PLAY 0
PRECIOUS GIFTS 0
PRODIGAL SON 0
PROPERTY OF A NOBLEWOMAN 0
RUSHING WATERS 0
THE APARTMENT 5
THE AWARD 0
THE CAST 2
THE DUCHESS 2
THE MISTRESS 3
THE RIGHT TIME 5
THE SINS OF THE MOTHER 0
UNDERCOVER 0
UNTIL THE END OF TIME 2
WINNERS 0
Grand Total 38
Author Susan Mallery
Row Labels Sum of Weeks on list
A FOOL'S GOLD CHRISTMAS 1
A MILLION LITTLE THINGS 1
ALL SUMMER LONG 1
BEFORE WE KISS 1
BEST OF MY LOVE 1
CHRISTMAS ON 4TH STREET 1
DAUGHTERS OF THE BRIDE 1
EVENING STARS 0
HALFWAY THERE 1
HOLD ME 1
JUST ONE KISS 0
KISS ME 1
32
PAST PERFECT 1
PEGASUS 1
POWER PLAY 0
PRECIOUS GIFTS 0
PRODIGAL SON 0
PROPERTY OF A NOBLEWOMAN 0
RUSHING WATERS 0
THE APARTMENT 5
THE AWARD 0
THE CAST 2
THE DUCHESS 2
THE MISTRESS 3
THE RIGHT TIME 5
THE SINS OF THE MOTHER 0
UNDERCOVER 0
UNTIL THE END OF TIME 2
WINNERS 0
Grand Total 38
Author Susan Mallery
Row Labels Sum of Weeks on list
A FOOL'S GOLD CHRISTMAS 1
A MILLION LITTLE THINGS 1
ALL SUMMER LONG 1
BEFORE WE KISS 1
BEST OF MY LOVE 1
CHRISTMAS ON 4TH STREET 1
DAUGHTERS OF THE BRIDE 1
EVENING STARS 0
HALFWAY THERE 1
HOLD ME 1
JUST ONE KISS 0
KISS ME 1
BUSINESS INFORMATION SYSTEMS
33
MARRY ME AT CHRISTMAS 0
ONLY HIS 1
ONLY US 1
ONLY YOURS 1
SECOND CHANCE GIRL 1
SECRETS OF THE TULIP SISTERS 1
SISTERS LIKE US 1
SUMMER DAYS 1
SUMMER NIGHTS 1
THE GIRLS OF MISCHIEF BAY 0
THREE LITTLE WORDS 1
THREE SISTERS 3
THRILL ME 1
TWO OF A KIND 1
UNTIL WE TOUCH 1
WHEN WE MET 1
YOU SAY IT FIRST 1
YOURS FOR CHRISTMAS 1
Grand Total 28
Author Christine Feehan
Row Labels Sum of Weeks on list
AIR BOUND 1
BOUND
TOGETHER 1
CAT'S LAIR 1
COVERT GAME 1
DARK BLOOD 1
DARK CAROUSEL 1
DARK GHOST 1
DARK LEGACY 1
DARK LYCAN 1
DARK PREDATOR 1
DARK PROMISES 1
33
MARRY ME AT CHRISTMAS 0
ONLY HIS 1
ONLY US 1
ONLY YOURS 1
SECOND CHANCE GIRL 1
SECRETS OF THE TULIP SISTERS 1
SISTERS LIKE US 1
SUMMER DAYS 1
SUMMER NIGHTS 1
THE GIRLS OF MISCHIEF BAY 0
THREE LITTLE WORDS 1
THREE SISTERS 3
THRILL ME 1
TWO OF A KIND 1
UNTIL WE TOUCH 1
WHEN WE MET 1
YOU SAY IT FIRST 1
YOURS FOR CHRISTMAS 1
Grand Total 28
Author Christine Feehan
Row Labels Sum of Weeks on list
AIR BOUND 1
BOUND
TOGETHER 1
CAT'S LAIR 1
COVERT GAME 1
DARK BLOOD 1
DARK CAROUSEL 1
DARK GHOST 1
DARK LEGACY 1
DARK LYCAN 1
DARK PREDATOR 1
DARK PROMISES 1
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BUSINESS INFORMATION SYSTEMS
34
DARK STORM 2
DARK WOLF 1
EARTH BOUND 1
FIRE BOUND 1
JUDGMENT ROAD 2
LEOPARD'S BLOOD 2
LEOPARD'S FURY 1
LEOPARD'S PREY 1
POWER GAME 1
SAMURAI GAME 1
SAVAGE NATURE 1
SHADOW REAPER 1
SHADOW RIDER 1
SPIDER GAME 1
SPIRIT BOUND 1
VIPER GAME 1
WILD CAT 1
Grand Total 31
Author Debbie Macomber
Row Labels Sum of Weeks on list
1105 YAKIMA STREET 4
1225 CHRISTMAS TREE LANE 0
16 LIGHTHOUSE ROAD 1
A GIRL'S GUIDE TO MOVING ON 0
A TURN IN THE ROAD 0
AN ENGAGEMENT IN SEATTLE 0
ANGELS AT THE TABLE 0
ANY DREAM WILL DO 1
BLOSSOM STREET BRIDES 1
DASHING THROUGH THE SNOW 1
34
DARK STORM 2
DARK WOLF 1
EARTH BOUND 1
FIRE BOUND 1
JUDGMENT ROAD 2
LEOPARD'S BLOOD 2
LEOPARD'S FURY 1
LEOPARD'S PREY 1
POWER GAME 1
SAMURAI GAME 1
SAVAGE NATURE 1
SHADOW REAPER 1
SHADOW RIDER 1
SPIDER GAME 1
SPIRIT BOUND 1
VIPER GAME 1
WILD CAT 1
Grand Total 31
Author Debbie Macomber
Row Labels Sum of Weeks on list
1105 YAKIMA STREET 4
1225 CHRISTMAS TREE LANE 0
16 LIGHTHOUSE ROAD 1
A GIRL'S GUIDE TO MOVING ON 0
A TURN IN THE ROAD 0
AN ENGAGEMENT IN SEATTLE 0
ANGELS AT THE TABLE 0
ANY DREAM WILL DO 1
BLOSSOM STREET BRIDES 1
DASHING THROUGH THE SNOW 1
BUSINESS INFORMATION SYSTEMS
35
FRIENDS ‰ÛÓ AND THEN SOME 1
HEARTSONG 0
IF NOT FOR YOU 1
LAST ONE HOME 0
LOST AND FOUND IN CEDAR COVE 1
LOVE LETTERS 0
MERRY AND BRIGHT 1
MR. MIRACLE 1
ROSE HARBOR IN BLOOM 1
SILVER LININGS 0
STARRY NIGHT 1
STARTING NOW 1
SWEET TOMORROWS 0
THE INN AT ROSE HARBOR 5
THE WAY TO A MAN'S HEART 1
TWELVE DAYS OF CHRISTMAS 1
Grand Total 23
35
FRIENDS ‰ÛÓ AND THEN SOME 1
HEARTSONG 0
IF NOT FOR YOU 1
LAST ONE HOME 0
LOST AND FOUND IN CEDAR COVE 1
LOVE LETTERS 0
MERRY AND BRIGHT 1
MR. MIRACLE 1
ROSE HARBOR IN BLOOM 1
SILVER LININGS 0
STARRY NIGHT 1
STARTING NOW 1
SWEET TOMORROWS 0
THE INN AT ROSE HARBOR 5
THE WAY TO A MAN'S HEART 1
TWELVE DAYS OF CHRISTMAS 1
Grand Total 23
1 out of 36
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