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Lise Getoor

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 78 1186 1145 631 605 492 28668

Lise Getoor publications per year

The chart shows the history of publications by Lise Getoor between 1994 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lise Getoor published across 31 years, from 1994 to 2024, averaging 16.2 papers a year. Output peaked at 169 publications in 2010. 9 of the 502 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1994 to 2024. Vertical axis: number of publications, 0 to 169. Peak 169 publications in 2010. 1994: 2 publications 1995: 2 publications 1996: 1 publication 1997: 2 publications 1998: 1 publication 1999: 2 publications 2000: 3 publications 2001: 5 publications 2002: 0 publications 2003: 7 publications 2004: 6 publications 2005: 10 publications 2006: 13 publications 2007: 44 publications 2008: 18 publications 2009: 23 publications 2010: 169 publications 2011: 24 publications 2012: 17 publications 2013: 24 publications 2014: 14 publications 2015: 20 publications 2016: 11 publications 2017: 15 publications 2018: 12 publications 2019: 15 publications 2020: 17 publications 2021: 9 publications 2022: 7 publications 2023: 5 publications 2024: 4 publications
1994 2024

502 publications in total across all disciplines

View publications per year as a table
Lise Getoor: publications per year, 1994 to 2024
Year Publications
1994 2
1995 2
1996 1
1997 2
1998 1
1999 2
2000 3
2001 5
2002 0
2003 7
2004 6
2005 10
2006 13
2007 44
2008 18
2009 23
2010 169
2011 24
2012 17
2013 24
2014 14
2015 20
2016 11
2017 15
2018 12
2019 15
2020 17
2021 9
2022 7
2023 5
2024 4
Total 502
Download as CSV

Lise Getoor publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lise Getoor sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 492–501 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 492 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62 492
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Lise Getoor D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Lise Getoor sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 78–79 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119 78
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to machine learning and reasoning under uncertainty
  • 2019 - ACM Fellow For contributions to machine learning, reasoning under uncertainty, and responsible data science
  • 2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to methods which combine probabilistic and logical representations in machine learning, knowledge discovery, graph mining, network analysis, and database systems.

Overview

Lise Getoor is affiliated with the University of California, Santa Cruz in the United States. Their research primarily falls under the broad field of Computer Science, with a focus on several subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Information Systems, and Management Science and Operations Research.

Their work spans multiple main topics of study, highlighting a diverse range of interests:

  • Topic Modeling
  • Bayesian Modeling and Causal Inference
  • Natural Language Processing Techniques
  • Complex Network Analysis Techniques
  • Explainable Artificial Intelligence (XAI)
  • Neural Networks and Applications
  • Speech and Dialogue Systems

Lise Getoor has contributed significantly to various academic venues, frequently publishing in:

  • arXiv (Cornell University)
  • Machine Learning
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the National Academy of Sciences
  • ACM Transactions on Interactive Intelligent Systems

Recent published papers demonstrate a focus on interdisciplinary approaches combining machine learning, causal inference, recommendation systems, and social media analysis. Notable recent works include:

  • Reducing opinion polarization: Effects of exposure to similar people with differing political views, 2021, Proceedings of the National Academy of Sciences
  • Generating and Understanding Personalized Explanations in Hybrid Recommender Systems, 2020, ACM Transactions on Interactive Intelligent Systems
  • ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation, 2023, arXiv (Cornell University)
  • Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Causal Relational Learning, 2020, arXiv (Cornell University)

Their frequent co-authors indicate ongoing collaboration across multiple researchers, including:

  • Connor Pryor
  • Eriq Augustine
  • Alon Albalak
  • Sriram Srinivasan
  • Charles Dickens

Lise Getoor has received several professional recognitions including fellowships:

  • IEEE Fellow (2021) for contributions to machine learning and reasoning under uncertainty
  • ACM Fellow (2019) for contributions to machine learning, reasoning under uncertainty, and responsible data science
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2013) for significant contributions to methods combining probabilistic and logical representations in machine learning, knowledge discovery, graph mining, network analysis, and database systems

Best Publications

  • Collective Classification in Network Data

    Prithviraj Sen;Galileo Namata;Mustafa Bilgic;Lise Getoor

  • Introduction to statistical relational learning

    Lise Getoor;Ben Taskar

  • Link mining: a survey

    Lise Getoor;Christopher P. Diehl

  • Learning Probabilistic Relational Models

    Nir Friedman;Lise Getoor;Daphne Koller;Avi Pfeffer

  • Encyclopedia of Machine Learning and Data Mining

    Unknown

  • Collective entity resolution in relational data

    Indrajit Bhattacharya;Lise Getoor

  • Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

    Lise Getoor;Ben Taskar

  • To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles

    Elena Zheleva;Lise Getoor

  • Link-based classification

    Qing Lu;Lise Getoor

  • Preserving the privacy of sensitive relationships in graph data

    Elena Zheleva;Lise Getoor

  • Entity resolution: theory, practice & open challenges

    Lise Getoor;Ashwin Machanavajjhala

  • Hinge-loss Markov random fields and probabilistic soft logic

    Stephen H. Bach;Matthias Broecheler;Bert Huang;Lise Getoor

  • Knowledge Graph Identification

    Jay Pujara;Hui Miao;Lise Getoor;William Cohen

  • A Latent Dirichlet Model for Unsupervised Entity Resolution

    Indrajit Bhattacharya;Lise Getoor

  • Selectivity estimation using probabilistic models

    Lise Getoor;Benjamin Taskar;Daphne Koller

  • Iterative record linkage for cleaning and integration

    Indrajit Bhattacharya;Lise Getoor

  • Method and apparatus for learning probabilistic relational models having attribute and link uncertainty and for performing selectivity estimation using probabilistic relational models

    Daphne Koller;Lise Getoor;Avi Pfeffer;Nir Friedman

  • 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators

    Naren Ramakrishnan;Patrick Butler;Sathappan Muthiah;Nathan Self

  • A short introduction to probabilistic soft logic

    Angelika Kimmig;Stephen Bach;Matthias Broecheler;Bert Huang

  • Query-driven active surveying for collective classification

    Lise Getoor

  • Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

    Lise Getoor;Ted Senator;Pedro Domingos;Christos Faloutsos

  • An Introduction to Conditional Random Fields for Relational Learning

    Lise Getoor;Ben Taskar

  • Collective Classification of Network Data.

    Ben London;Lise Getoor

  • Collective Classi!cation in Network Data

    Prithviraj Sen;Galileo Namata;Mustafa Bilgic;Lise Getoor

Frequent Co-Authors

Ben Taskar
Ben Taskar University of Washington
Amol Deshpande
Amol Deshpande University of Maryland, College Park
Kristina Lerman
Kristina Lerman University of Southern California
Daphne Koller
Daphne Koller insitro Inc.
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Stephen Muggleton
Stephen Muggleton Imperial College London
Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
Luc De Raedt
Luc De Raedt KU Leuven
Nir Friedman
Nir Friedman Weizmann Institute of Science
Hal Daumé
Hal Daumé University of Maryland, College Park

External Links

Wikipedia of Lise Getoor Personal website of Lise Getoor Google Scholar page

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Best Scientists Citing Lise Getoor

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 88

Kristian Kersting

Kristian Kersting

Technical University of Darmstadt

Publications: 80

Luc De Raedt

Luc De Raedt

KU Leuven

Publications: 67

Pedro Domingos

Pedro Domingos

University of Washington

Publications: 61

Jennifer Neville

Jennifer Neville

Purdue University West Lafayette

Publications: 59

Naren Ramakrishnan

Naren Ramakrishnan

Virginia Tech

Publications: 55

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 49

Charu C. Aggarwal

Charu C. Aggarwal

IBM (United States)

Publications: 43

Huan Liu

Huan Liu

Arizona State University

Publications: 41

David Jensen

David Jensen

University of Massachusetts Amherst

Publications: 39

Jie Tang

Jie Tang

Tsinghua University

Publications: 39

Christopher Ré

Christopher Ré

Stanford University

Publications: 38

Guy Van den Broeck

Guy Van den Broeck

University of California, Los Angeles

Publications: 37

Dan Suciu

Dan Suciu

University of Washington

Publications: 36

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 34

Fabio Gagliardi Cozman

Fabio Gagliardi Cozman

Universidade de São Paulo

Publications: 33

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Xiaojun Zhang

Xiaojun Zhang

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Jin Jiang

University of Western Ontario

Benedicte A. Lie

Benedicte A. Lie

Oslo University Hospital

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F. Alayne Street-Perrott

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