World's Best Scientists 2026 revealed!
Daphne Koller

Daphne Koller

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Best Female Scientists
2025
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Computer Science
USA
2026

D-Index & Metrics

Best Female Scientists

D-Index
147
Citations
111937
World Ranking
166
National Ranking
101

Computer Science

D-Index
138
Citations
91401
World Ranking
75
National Ranking
45

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.

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 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.

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.

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 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.

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

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