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Daphne Koller

Daphne Koller

insitro Inc.
United States

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Best Female Scientists
2025
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Computer Science
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Best Female Scientists 147 166 154 101 94 338 111937
Computer Science 138 75 72 45 43 307 91401

Daphne Koller publications per year

The chart shows the history of publications by Daphne Koller between 1964 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daphne Koller published across 63 years, from 1964 to 2026, averaging 5.6 papers a year. Output peaked at 27 publications in 2013. 3 of the 354 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1964 to 2026. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2013. 1964: 1 publication 1965: 0 publications 1966: 0 publications 1967: 0 publications 1968: 0 publications 1969: 0 publications 1970: 0 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 2 publications 1988: 0 publications 1989: 1 publication 1990: 0 publications 1991: 2 publications 1992: 4 publications 1993: 4 publications 1994: 11 publications 1995: 7 publications 1996: 11 publications 1997: 12 publications 1998: 8 publications 1999: 12 publications 2000: 16 publications 2001: 21 publications 2002: 15 publications 2003: 13 publications 2004: 18 publications 2005: 12 publications 2006: 14 publications 2007: 9 publications 2008: 20 publications 2009: 15 publications 2010: 18 publications 2011: 15 publications 2012: 21 publications 2013: 27 publications 2014: 15 publications 2015: 6 publications 2016: 3 publications 2017: 0 publications 2018: 2 publications 2019: 2 publications 2020: 1 publication 2021: 0 publications 2022: 7 publications 2023: 4 publications 2024: 2 publications 2025: 2 publications 2026: 1 publication
1964 2026

354 publications in total across all disciplines

View publications per year as a table
Daphne Koller: publications per year, 1964 to 2026
Year Publications
1964 1
1965 0
1966 0
1967 0
1968 0
1969 0
1970 0
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 2
1988 0
1989 1
1990 0
1991 2
1992 4
1993 4
1994 11
1995 7
1996 11
1997 12
1998 8
1999 12
2000 16
2001 21
2002 15
2003 13
2004 18
2005 12
2006 14
2007 9
2008 20
2009 15
2010 18
2011 15
2012 21
2013 27
2014 15
2015 6
2016 3
2017 0
2018 2
2019 2
2020 1
2021 0
2022 7
2023 4
2024 2
2025 2
2026 1
Total 354
Download as CSV

Daphne Koller 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 Daphne Koller 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, 302–311 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: 307 publications — 75th percentile

75% 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
302–311 250 307
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
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

Daphne Koller 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 Daphne Koller 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, 131+ 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: 138 D-Index — 99th percentile

99% 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
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+ 98 138
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Best Female Scientists Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2019 - ACM AAAI Allen Newell Award For seminal contributions to machine learning and probabilistic models, the application of these techniques to biology and human health, and for contributions to democratizing education.
  • 2014 - Fellow of the American Academy of Arts and Sciences
  • 2011 - Member of the National Academy of Engineering For contributions to representation, inference, and learning in probabilistic models with applications to robotics, vision, and biology.
  • 2007 - ACM Prize in Computing For her work on combining relational logic and probability that allows probabilistic reasoning to be applied to a wide range of applications, including robotics, economics, and biology.
  • 2004 - Fellow of the MacArthur Foundation
  • 2004 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the integration of logic and probability and development of methods for reasoning, learning, and decision making under uncertainty.
  • 1996 - Fellow of Alfred P. Sloan Foundation

Overview

Daphne Koller is affiliated with insitro Inc. in the United States and has contributed extensively to the fields of biochemistry, genetics, molecular biology, and medicine. Their research focuses particularly on genetics, molecular biology, and hepatology, with additional work in epidemiology and control and systems engineering.

The scientist's work addresses several main topics, including:

  • Genetic Associations and Epidemiology
  • Genetic Syndromes and Imprinting
  • Liver Disease Diagnosis and Treatment
  • Chronic Lymphocytic Leukemia Research
  • Gene expression and cancer classification
  • Liver physiology and pathology
  • Human Motion and Animation

Daphne Koller has co-authored multiple papers with frequent collaborators such as Francesco Paolo Casale, Theofanis Karaletsos, Zachary R. McCaw, Matthew L. Albert, and Colm O'Dushlaine.

Their recent papers cover topics from genetic discovery methods to disease pathology with the following notable works:

  • "An allelic-series rare-variant association test for candidate-gene discovery," 2023, The American Journal of Human Genetics
  • "EmbedGEM: a framework to evaluate the utility of embeddings for genetic discovery," 2024, Bioinformatics Advances
  • "TDP-43 loss induces cryptic polyadenylation in ALS/FTD," 2025, Nature Neuroscience
  • "An allelic series rare variant association test for candidate gene discovery," 2022, bioRxiv (Cold Spring Harbor Laboratory)
  • "Convolutional neural networks of H&E-stained biopsy images accurately quantify histologic features of non-alcoholic steatohepatitis," 2020, Journal of Hepatology

Publishing frequently in venues like the Journal of Hepatology, bioRxiv (Cold Spring Harbor Laboratory), Cancer Research, The American Journal of Human Genetics, and Bioinformatics Advances, their work spans experimental and computational approaches.

The scientist has been recognized through several awards over the years, including:

  • ACM AAAI Allen Newell Award, 2019, for contributions to machine learning, probabilistic models, and applications in biology and human health
  • Fellow of the American Academy of Arts and Sciences, 2014
  • Member of the National Academy of Engineering, 2011, for representation, inference, and learning in probabilistic models
  • ACM Prize in Computing, 2007, for work on combining relational logic and probability
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2004
  • Fellow of the MacArthur Foundation, 2004
  • Fellow of Alfred P. Sloan Foundation, 1996

Best Publications

  • The Genotype-Tissue Expression (GTEx) project

    John Lonsdale;Jeffrey Thomas;Mike Salvatore;Rebecca Phillips

  • The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

    Kristin G. Ardlie;David S. Deluca;Ayellet V. Segrè

  • Support vector machine active learning with applications to text classification

    Simon Tong;Daphne Koller

  • FastSLAM: a factored solution to the simultaneous localization and mapping problem

    Michael Montemerlo;Sebastian Thrun;Daphne Koller;Ben Wegbreit

  • A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules

    Joshua M. Stuart;Eran Segal;Daphne Koller;Stuart K. Kim

  • Toward optimal feature selection

    Daphne Koller;Mehran Sahami

  • Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data

    Eran Segal;Michael Shapira;Aviv Regev;Aviv Regev;Dana Pe'er

  • SCAPE: shape completion and animation of people

    Dragomir Anguelov;Praveen Srinivasan;Daphne Koller;Sebastian Thrun

  • Max-Margin Markov Networks

    Ben Taskar;Carlos Guestrin;Daphne Koller

  • Hierarchically Classifying Documents Using Very Few Words

    Daphne Koller;Mehran Sahami

  • Correction: Corrigendum: Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

    Jialiang Yang;Tao Huang;Francesca Petralia;Quan Long

  • Self-Paced Learning for Latent Variable Models

    M. P. Kumar;Benjamin Packer;Daphne Koller

  • Learning Probabilistic Relational Models

    Nir Friedman;Lise Getoor;Daphne Koller;Avi Pfeffer

  • The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes

    Maureen E. Hillenmeyer;Eula Fung;Jan Wildenhain;Sarah E. Pierce

  • Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks

    Nir Friedman;Daphne Koller

  • Simultaneous Localization and Mapping with Sparse Extended Information Filters

    Sebastian Thrun;Yufeng Liu;Daphne Koller;Andrew Y. Ng

  • Decomposing a scene into geometric and semantically consistent regions

    Stephen Gould;Richard Fulton;Daphne Koller

  • A module map showing conditional activity of expression modules in cancer.

    Eran Segal;Eran Segal;Nir Friedman;Daphne Koller;Aviv Regev

  • Discriminative probabilistic models for relational data

    Ben Taskar;Pieter Abbeel;Daphne Koller

  • Tractable inference for complex stochastic processes

    Xavier Boyen;Daphne Koller

  • Context-specific independence in Bayesian networks

    Craig Boutilier;Nir Friedman;Moises Goldszmidt;Daphne Koller

  • Support Vector Machine Active Learning with Application sto Text Classification

    Simon Tong;Daphne Koller

  • Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning

    Daphne Koller;Nir Friedman

  • The Genotype-Tissue Expression (GTEx) project

    John Lonsdale;Jeffrey Thomas;Mike Salvatore;Rebecca Phillips

  • A Bayesian Approach to Structure Discovery in Bayesian Networks

    Nir Friedman;Daphne Koller

Frequent Co-Authors

Nir Friedman
Nir Friedman Weizmann Institute of Science
Eran Segal
Eran Segal Weizmann Institute of Science
Aviv Regev
Aviv Regev Genentech
Joseph Y. Halpern
Joseph Y. Halpern Cornell University
Sebastian Thrun
Sebastian Thrun Stanford University
Andrew Y. Ng
Andrew Y. Ng Stanford University
Christophe Benoist
Christophe Benoist Harvard University
Avi Pfeffer
Avi Pfeffer Charles River Laboratories (Netherlands)
Stephen Gould
Stephen Gould Australian National University
Diane Mathis
Diane Mathis Harvard University

External Links

Wikipedia of Daphne Koller Personal website of Daphne Koller Google Scholar page

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Best Scientists Citing Daphne Koller

Aviv Regev

Aviv Regev

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Publications: 152

Philip L. De Jager

Philip L. De Jager

Columbia University

Publications: 110

Emmanouil T. Dermitzakis

Emmanouil T. Dermitzakis

University of Geneva

Publications: 109

Kari Stefansson

Kari Stefansson

deCODE Genetics (Iceland)

Publications: 107

Mark I. McCarthy

Mark I. McCarthy

Genentech

Publications: 107

Bruce M. Psaty

Bruce M. Psaty

University of Washington

Publications: 106

André G. Uitterlinden

André G. Uitterlinden

Erasmus University Rotterdam

Publications: 105

Jerome I. Rotter

Jerome I. Rotter

UCLA Medical Center

Publications: 96

Eric R. Gamazon

Eric R. Gamazon

Vanderbilt University Medical Center

Publications: 96

Olli T. Raitakari

Olli T. Raitakari

Turku University Hospital

Publications: 95

Eric Boerwinkle

Eric Boerwinkle

The University of Texas Health Science Center at Houston

Publications: 90

Tim D. Spector

Tim D. Spector

King's College London

Publications: 87

Michael J. Black

Michael J. Black

Max Planck Institute for Intelligent Systems

Publications: 84

Wolfram Burgard

Wolfram Burgard

University of Technology Nuremberg

Publications: 83

Tonu Esko

Tonu Esko

University of Tartu

Publications: 83

Andrew P. Morris

Andrew P. Morris

University of Liverpool

Publications: 82

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