Eamonn J. Keogh

	2009
118		Abdullah Mueen, Eamonn J. Keogh, Nima Bigdely Shamlo: Finding Time Series Motifs in Disk-Resident Data. ICDM 2009: 367-376
117		Xiaoyue Wang, Eamonn J. Keogh: Finding centuries-old hyperlinks with a novel semi-supervised learning technique. JCDL 2009: 451-452
116		Qiang Zhu, Xiaoyue Wang, Eamonn J. Keogh, Sang-Hee Lee: Augmenting the generalized hough transform to enable the mining of petroglyphs. KDD 2009: 1057-1066
115		Lexiang Ye, Eamonn J. Keogh: Time series shapelets: a new primitive for data mining. KDD 2009: 947-956
114		Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover: Exact Discovery of Time Series Motifs. SDM 2009: 473-484
113		Lexiang Ye, Xiaoyue Wang, Eamonn J. Keogh, Agenor Mafra-Neto: Autocannibalistic and Anyspace Indexing Algorithms with Application to Sensor Data Mining. SDM 2009: 85-96
112		Jin Shieh, Eamonn J. Keogh: iSAX: disk-aware mining and indexing of massive time series datasets. Data Min. Knowl. Discov. 19(1): 24-57 (2009)
111		Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Michail Vlachos, Sang-Hee Lee, Pavlos Protopapas: Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures. VLDB J. 18(3): 611-630 (2009)
	2008
110		Shashwati Kasetty, Candice Stafford, Gregory P. Walker, Xiaoyue Wang, Eamonn J. Keogh: Real-Time Classification of Streaming Sensor Data. ICTAI (1) 2008: 149-156
109		Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton: Annotating historical archives of images. JCDL 2008: 341-350
108		Jin Shieh, Eamonn J. Keogh: iSAX: indexing and mining terabyte sized time series. KDD 2008: 623-631
107		Lexiang Ye, Xiaoyue Wang, Dragomir Yankov, Eamonn J. Keogh: The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining. SDM 2008: 363-374
106		Eamonn J. Keogh: Indexing and Mining Time Series Data. Encyclopedia of GIS 2008: 493-497
105		Xiaozhe Wang, Eamonn J. Keogh: A Clustering Analysis for Target Group Identification by Locality in Motor Insurance Industry. Soft Computing Applications in Business 2008: 113-127
104		Li Wei, Eamonn J. Keogh, Xiaopeng Xi, Melissa Yoder: Efficiently finding unusual shapes in large image databases. Data Min. Knowl. Discov. 17(3): 343-376 (2008)
103		Themis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos: Streaming Time Series Summarization Using User-Defined Amnesic Functions. IEEE Trans. Knowl. Data Eng. 20(7): 992-1006 (2008)
102		Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Wendy L. Hodges: Fast Best-Match Shape Searching in Rotation-Invariant Metric Spaces. IEEE Transactions on Multimedia 10(2): 230-239 (2008)
101		Dragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragada: Disk aware discord discovery: finding unusual time series in terabyte sized datasets. Knowl. Inf. Syst. 17(2): 241-262 (2008)
100		Hui Ding, Goce Trajcevski, Peter Scheuermann, Xiaoyue Wang, Eamonn J. Keogh: Querying and mining of time series data: experimental comparison of representations and distance measures. PVLDB 1(2): 1542-1552 (2008)
99		Xiaopeng Xi, Ken Ueno, Eamonn J. Keogh, Dah-Jye Lee: Converting non-parametric distance-based classification to anytime algorithms. Pattern Anal. Appl. 11(3-4): 321-336 (2008)
98		Ada Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana, Raymond Chi-Wing Wong: Scaling and time warping in time series querying. VLDB J. 17(4): 899-921 (2008)
	2007
97		Petko Bakalov, Eamonn J. Keogh, Vassilis J. Tsotras: TS2-tree - an efficient similarity based organization for trajectory data. GIS 2007: 58
96		Dragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragada: Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets. ICDM 2007: 381-390
95		Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan: Locally Constrained Support Vector Clustering. ICDM 2007: 715-720
94		Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bill Yuan-chi Chiu, Victor B. Zordan: Detecting time series motifs under uniform scaling. KDD 2007: 844-853
93		Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu: Visual Exploration of Genomic Data. PKDD 2007: 613-620
92		Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Wendy L. Hodges: Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces. SDM 2007
91		Xiaopeng Xi, Eamonn J. Keogh, Li Wei, Agenor Mafra-Neto: Finding Motifs in a Database of Shapes. SDM 2007
90		Yingyi Bu, Oscar Tat-Wing Leung, Ada Wai-Chee Fu, Eamonn J. Keogh, Jian Pei, Sam Meshkin: WAT: Finding Top-K Discords in Time Series Database. SDM 2007
89		Eamonn J. Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana, Li Wei, Sang-Hee Lee, John Handley: Compression-based data mining of sequential data. Data Min. Knowl. Discov. 14(1): 99-129 (2007)
88		Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lonardi: Experiencing SAX: a novel symbolic representation of time series. Data Min. Knowl. Discov. 15(2): 107-144 (2007)
87		Longbing Cao, Chengqi Zhang, Qiang Yang, David Bell, Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu, Ning Zhong, Mafruz Zaman Ashrafi, David Taniar, Eugene Dubossarsky, Warwick Graco: Domain-Driven, Actionable Knowledge Discovery. IEEE Intelligent Systems 22(4): 78-88 (2007)
86		Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, Helga Van Herle: Finding the most unusual time series subsequence: algorithms and applications. Knowl. Inf. Syst. 11(1): 1-27 (2007)
85		Li Wei, Eamonn J. Keogh, Helga Van Herle, Agenor Mafra-Neto, Russell J. Abbott: Efficient query filtering for streaming time series with applications to semisupervised learning of time series classifiers. Knowl. Inf. Syst. 11(3): 313-344 (2007)
	2006
84		Eamonn J. Keogh: Data mining and information retrieval in time series/multimedia databases. ACM Multimedia 2006: 10
83		Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin: Finding Time Series Discords Based on Haar Transform. ADMA 2006: 31-41
82		Pablo Viana, Ann Gordon-Ross, Eamonn J. Keogh, Edna Barros, Frank Vahid: Configurable cache subsetting for fast cache tuning. DAC 2006: 695-700
81		Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh: Ensembles of Nearest Neighbor Forecasts. ECML 2006: 545-556
80		Dragomir Yankov, Eamonn J. Keogh: Manifold Clustering of Shapes. ICDM 2006: 1167-1171
79		Ken Ueno, Xiaopeng Xi, Eamonn J. Keogh, Dah-Jye Lee: Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining. ICDM 2006: 623-632
78		Li Wei, Eamonn J. Keogh, Xiaopeng Xi: SAXually Explicit Images: Finding Unusual Shapes. ICDM 2006: 711-720
77		Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, Scott Sirowy: Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems. ICDM 2006: 912-916
76		Li Wei, John Handley, Nathaniel Martin, Tong Sun, Eamonn J. Keogh: Clustering Workflow Requirements Using Compression Dissimilarity Measure. ICDM Workshops 2006: 50-54
75		Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana: Fast time series classification using numerosity reduction. ICML 2006: 1033-1040
74		Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Philip S. Yu: Global distance-based segmentation of trajectories. KDD 2006: 34-43
73		Li Wei, Eamonn J. Keogh: Semi-supervised time series classification. KDD 2006: 748-753
72		Jessica Lin, Eamonn J. Keogh: Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data. PKDD 2006: 284-296
71		Eamonn J. Keogh: A Decade of Progress in Indexing and Mining Large Time Series Databases. VLDB 2006: 1268
70		Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Sang-Hee Lee, Michail Vlachos: LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures. VLDB 2006: 882-893
69		Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Stefano Lonardi, Gareth J. Janacek: A Bit Level Representation for Time Series Data Mining with Shape Based Similarity. Data Min. Knowl. Discov. 13(1): 11-40 (2006)
68		Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu, Helga Van Herle: Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications. IEEE Transactions on Information Technology in Biomedicine 10(3): 429-439 (2006)
67		Stefano Lonardi, Jessica Lin, Eamonn J. Keogh, Bill Yuan-chi Chiu: Efficient Discovery of Unusual Patterns in Time Series. New Generation Comput. 25(1): 61-93 (2006)
66		Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh: Indexing Multidimensional Time-Series. VLDB J. 15(1): 1-20 (2006)
	2005
65		Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle: Approximations to Magic: Finding Unusual Medical Time Series. CBMS 2005: 329-334
64		Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana, Helga Van Herle: A Practical Tool for Visualizing and Data Mining Medical Time Series. CBMS 2005: 341-346
63		Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh: Multimedia Retrieval Using Time Series Representation and Relevance Feedback. ICADL 2005: 400-405
62		Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu: HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. ICDM 2005: 226-233
61		Li Wei, Eamonn J. Keogh, Helga Van Herle, Agenor Mafra-Neto: Atomic Wedgie: Efficient Query Filtering for Streaming Times Series. ICDM 2005: 490-497
60		Longin Jan Latecki, Vasileios Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh: Partial Elastic Matching of Time Series. ICDM 2005: 701-704
59		Dragomir Yankov, Eamonn J. Keogh, Stefano Lonardi, Ada Wai-Chee Fu: Dot Plots for Time Series Analysis. ICTAI 2005: 159-168
58		Eamonn J. Keogh: Visualization and Mining of Temporal Data. IEEE Visualization 2005: 126
57		Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh: Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases. KES (2) 2005: 16-23
56		Petko Bakalov, Marios Hadjieleftheriou, Eamonn J. Keogh, Vassilis J. Tsotras: Efficient trajectory joins using symbolic representations. Mobile Data Management 2005: 86-93
55		Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le: A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. PAKDD 2005: 333-342
54		Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Anthony J. Bagnall, Stefano Lonardi: A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering. PAKDD 2005: 771-777
53		Longin Jan Latecki, Vasilis Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh: Elastic Partial Matching of Time Series. PKDD 2005: 577-584
52		Eamonn J. Keogh: Recent Advances in Mining Time Series Data. PKDD 2005: 6
51		Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh: Three Myths about Dynamic Time Warping Data Mining. SDM 2005
50		Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana: Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases. SDM 2005
49		Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana: Assumption-Free Anomaly Detection in Time Series. SSDBM 2005: 237-240
48		Ada Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana: Scaling and Time Warping in Time Series Querying. VLDB 2005: 649-660
47		Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Dimitrios Gunopulos: Indexing Multi-Dimensional Trajectories for Similarity Queries. Spatial Databases 2005: 107-128
46		Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das: Mining Time Series Data. The Data Mining and Knowledge Discovery Handbook 2005: 1069-1103
45		Jessica Lin, Eamonn J. Keogh, Stefano Lonardi: Visualizing and discovering non-trivial patterns in large time series databases. Information Visualization 4(2): 61-82 (2005)
44		Li Wei, Eamonn J. Keogh, Xiaopeng Xi, Stefano Lonardi: Integrating Lite-Weight but Ubiquitous Data Mining into GUI Operating Systems. J. UCS 11(11): 1820-1834 (2005)
43		Eamonn J. Keogh, Chotirat (Ann) Ratanamahatana: Exact indexing of dynamic time warping. Knowl. Inf. Syst. 7(3): 358-386 (2005)
42		Eamonn J. Keogh, Jessica Lin: Clustering of time-series subsequences is meaningless: implications for previous and future research. Knowl. Inf. Syst. 8(2): 154-177 (2005)
41		Eamonn J. Keogh: Guest Editorial. Machine Learning 58(2-3): 103-105 (2005)
	2004
40		Eamonn J. Keogh, Jessica Lin, Stefano Lonardi, Bill Yuan-chi Chiu: We Have Seen the Future, and It Is Symbolic. ACSW Frontiers 2004: 83
39		Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos: Iterative Incremental Clustering of Time Series. EDBT 2004: 106-122
38		Themistoklis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Wagner Truppel: Online Amnesic Approximation of Streaming Time Series. ICDE 2004: 338-349
37		Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana: Towards parameter-free data mining. KDD 2004: 206-215
36		Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom: Visually mining and monitoring massive time series. KDD 2004: 460-469
35		Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh: Making Time-Series Classification More Accurate Using Learned Constraints. SDM 2004
34		Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom: VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases. VLDB 2004: 1269-1272
33		Eamonn J. Keogh, Themis Palpanas, Victor B. Zordan, Dimitrios Gunopulos, Marc Cardle: Indexing Large Human-Motion Databases. VLDB 2004: 780-791
32		Jiyuan An, Yi-Ping Phoebe Chen, Eamonn J. Keogh: A Grid-Based Index Method for Time Warping Distance. WAIM 2004: 65-75
	2003
31		Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu: A symbolic representation of time series, with implications for streaming algorithms. DMKD 2003: 2-11
30		Jessica Lin, Eamonn J. Keogh, Wagner Truppel: Clustering of streaming time series is meaningless. DMKD 2003: 56-65
29		Jessica Lin, Eamonn J. Keogh, Wagner Truppel: (Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research. IC-AI 2003: 55-61
28		Eamonn J. Keogh, Jessica Lin, Wagner Truppel: Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research. ICDM 2003: 115-122
27		Jiyuan An, Hanxiong Chen, Kazutaka Furuse, Nobuo Ohbo, Eamonn J. Keogh: Grid-Based Indexing for Large Time Series Databases. IDEAL 2003: 614-621
26		Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh: Indexing multi-dimensional time-series with support for multiple distance measures. KDD 2003: 216-225
25		Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonardi: Probabilistic discovery of time series motifs. KDD 2003: 493-498
24		Eamonn J. Keogh: Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases. PKDD 2003: 253-265
23		Eamonn J. Keogh: A Gentle Introduction to Machine Learning and Data Mining for the Database Community. SBBD 2003: 2
22		Eamonn J. Keogh, Shruti Kasetty: On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration. Data Min. Knowl. Discov. 7(4): 349-371 (2003)
	2002
21		Eamonn J. Keogh, Harry Hochheiser, Ben Shneiderman: An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data. FQAS 2002: 240-250
20		Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi: Mining Motifs in Massive Time Series Databases. ICDM 2002: 370-377
19		Eamonn J. Keogh, Shruti Kasetty: On the need for time series data mining benchmarks: a survey and empirical demonstration. KDD 2002: 102-111
18		Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu: Finding surprising patterns in a time series database in linear time and space. KDD 2002: 550-556
17		Eamonn J. Keogh: Indexing and Mining Time Series. SBBD 2002: 9
16		Selina Chu, Eamonn J. Keogh, David Hart, Michael J. Pazzani: Iterative Deepening Dynamic Time Warping for Time Series. SDM 2002
15		Eamonn J. Keogh: Exact Indexing of Dynamic Time Warping. VLDB 2002: 406-417
14		Kaushik Chakrabarti, Eamonn J. Keogh, Sharad Mehrotra, Michael J. Pazzani: Locally adaptive dimensionality reduction for indexing large time series databases. ACM Trans. Database Syst. 27(2): 188-228 (2002)
13		Eamonn J. Keogh, Michael J. Pazzani: Learning the Structure of Augmented Bayesian Classifiers. International Journal on Artificial Intelligence Tools 11(4): 587-601 (2002)
	2001
12		Eamonn J. Keogh, Selina Chu, David Hart, Michael J. Pazzani: An Online Algorithm for Segmenting Time Series. ICDM 2001: 289-296
11		Eamonn J. Keogh, Selina Chu, Michael J. Pazzani: Ensemble-index: a new approach to indexing large databases. KDD 2001: 117-125
10		Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehrotra, Michael J. Pazzani: Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases. SIGMOD Conference 2001: 151-162
9		Eamonn J. Keogh, Kaushik Chakrabarti, Michael J. Pazzani, Sharad Mehrotra: Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases. Knowl. Inf. Syst. 3(3): 263-286 (2001)
	2000
8		Eamonn J. Keogh, Michael J. Pazzani: Scaling up dynamic time warping for datamining applications. KDD 2000: 285-289
7		Eamonn J. Keogh, Michael J. Pazzani: A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases. PAKDD 2000: 122-133
	1999
6		Eamonn J. Keogh, Michael J. Pazzani: Scaling up Dynamic Time Warping to Massive Dataset. PKDD 1999: 1-11
5		Eamonn J. Keogh, Michael J. Pazzani: Relevance Feedback Retrieval of Time Series Data. SIGIR 1999: 183-190
4		Eamonn J. Keogh, Michael J. Pazzani: An Indexing Scheme for Fast Similarity Search in Large Time Series Databases. SSDBM 1999: 56-67
	1998
3		Eamonn J. Keogh, Michael J. Pazzani: An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback. KDD 1998: 239-243
	1997
2		Eamonn J. Keogh: Fast Similarity Search in the Presence of Longitudinal Scaling in Time Series Databases. ICTAI 1997: 578-584
1		Eamonn J. Keogh, Padhraic Smyth: A Probabilistic Approach to Fast Pattern Matching in Time Series Databases. KDD 1997: 24-30

Coauthor Index

1	Russ Abbott (Russell J. Abbott)	[85]
2	Jiyuan An	[27] [32]
3	Aris Anagnostopoulos	[74]
4	Mafruz Zaman Ashrafi	[87]
5	Anthony J. Bagnall	[54] [69]
6	Petko Bakalov	[56] [97]
7	Edna Barros	[82]
8	David Bell	[87]
9	Yingyi Bu	[90]
10	Longbing Cao	[87]
11	Marc Cardle	[33]
12	Sydney Cash	[114]
13	Kaushik Chakrabarti	[9] [10] [14]
14	Hanxiong Chen	[27]
15	Yi-Ping Phoebe Chen	[32]
16	Bill Yuan-chi Chiu	[18] [25] [31] [40] [67] [94]
17	Selina Chu	[11] [12] [16]
18	Gautam Das	[46]
19	Dennis DeCoste	[81]
20	Hui Ding	[100]
21	Eugene Dubossarsky	[87]
22	Ada Wai-Chee Fu	[48] [59] [62] [65] [68] [83] [90] [98]
23	Kazutaka Furuse	[27]
24	Ann Gordon-Ross	[82]
25	Warwick Graco	[87]
26	Dimitrios Gunopulos	[26] [33] [38] [39] [46] [47] [55] [66] [103]
27	Marios Hadjieleftheriou	[26] [47] [56] [66] [74]
28	John Handley	[76] [89]
29	David Hart	[12] [16]
30	Helga Van Herle	[61] [64] [65] [68] [85] [86]
31	Harry Hochheiser	[21]
32	Wendy L. Hodges	[92] [102]
33	Gareth J. Janacek	[69]
34	Kin Fai Kan	[95]
35	Shashwati Kasetty	[110]
36	Shruti Kasetty	[19] [22]
37	Nitin Kumar	[49] [50] [64]
38	Rolf Lakämper	[53] [60]
39	Jeffrey P. Lankford	[34] [36]
40	Longin Jan Latecki	[53] [60]
41	Leo Yung Hang Lau	[48] [98]
42	Jia-Jin Le	[55]
43	Dah-Jye Lee	[79] [99]
44	Sang-Hee Lee	[70] [86] [89] [111] [116]
45	Oscar Tat-Wing Leung	[83] [90]
46	Jessica Lin	[20] [28] [29] [30] [31] [34] [36] [39] [40] [42] [45] [46] [55] [62] [65] [67] [68] [72] [83] [86] [88]
47	Jian-Wei Liu	[55]
48	Venkata Nishanth Lolla	[49] [50] [64]
49	Stefano Lonardi	[18] [20] [25] [31] [34] [36] [37] [40] [44] [45] [49] [50] [54] [59] [64] [67] [69] [77] [88] [89]
50	Agenor Mafra-Neto	[61] [85] [91] [113]
51	Nathaniel Martin	[76]
52	Jose Medina	[94]
53	Vasileios Megalooikonomou (Vasilis Megalooikonomou)	[53] [60]
54	Sharad Mehrotra	[9] [10] [14]
55	Sam Meshkin	[90]
56	Abdullah Mueen	[114] [118]
57	Donna M. Nystrom	[34] [36]
58	Nobuo Ohbo	[27]
59	Themis Palpanas (Themistoklis Palpanas)	[33] [38] [103]
60	Pranav Patel	[20]
61	Michael J. Pazzani	[3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [16]
62	Jian Pei	[90]
63	Pavlos Protopapas	[111]
64	Chotirat (Ann) Ratanamahatana (Chotirat Ann Ratanamahatana)	[35] [37] [43] [46] [48] [49] [50] [51] [53] [54] [57] [60] [63] [64] [69] [75] [89] [98]
65	Umaa Rebbapragada	[96] [101]
66	Peter Scheuermann	[100]
67	Nima Bigdely Shamlo	[118]
68	Christian R. Shelton	[75] [109]
69	Jin Shieh	[77] [108] [112]
70	Ben Shneiderman	[21]
71	Scott Sirowy	[77]
72	Padhraic Smyth	[1]
73	Candice Stafford	[110]
74	Tong Sun	[76]
75	Bahar Taneri	[87] [93]
76	David Taniar	[87]
77	Goce Trajcevski	[100]
78	Wagner Truppel	[28] [29] [30] [38]
79	Vassilis J. Tsotras	[56] [97]
80	Ken Ueno	[79] [99]
81	Frank Vahid	[82]
82	Pablo Viana	[82]
83	Michail Vlachos	[26] [38] [39] [46] [47] [55] [66] [70] [74] [87] [93] [103] [111]
84	Gregory P. Walker	[110]
85	Qiang Wang	[53] [60]
86	Xiaoyue Wang	[100] [107] [109] [110] [113] [116] [117]
87	Xiaozhe Wang	[105]
88	Li Wei	[44] [49] [61] [64] [70] [73] [75] [76] [77] [78] [85] [88] [89] [91] [92] [102] [104] [111]
89	M. Brandon Westover	[114]
90	Raymond Chi-Wing Wong	[98]
91	Xiaopeng Xi	[44] [70] [75] [77] [78] [79] [91] [92] [99] [102] [104] [111]
92	Qiang Yang	[87]
93	Dragomir Yankov	[59] [80] [81] [92] [94] [95] [96] [101] [102] [107]
94	Lexiang Ye	[107] [109] [113] [115]
95	Melissa Yoder	[104]
96	Philip S. Yu	[74] [87] [93]
97	Shou-Jian Yu	[55]
98	Chengqi Zhang	[87]
99	Ning Zhong	[87]
100	Qiang Zhu	[114] [116]
101	Victor B. Zordan	[33] [94]

Colors in the list of coauthors