World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
97
Citations
51331
World Ranking
414
National Ranking
228

William W. Cohen 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 William W. Cohen 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 382 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

William W. Cohen 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 William W. Cohen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 97 D-Index — 97th percentile

97% 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

  • 2009 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to many aspects of the theory and practice of machine learning.

Overview

William W. Cohen is affiliated with Google in the United States and has contributed extensively to research within the field of Computer Science, with a focus on Artificial Intelligence. Their work spans across subfields such as Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Science Applications, and Information Systems.

The main topics of research covered by Cohen include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Explainable Artificial Intelligence (XAI)
  • Semantic Web and Ontologies
  • Domain Adaptation and Few-Shot Learning
  • Complex Network Analysis Techniques

Cohen has been published frequently in several venues, including:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Transactions of the Association for Computational Linguistics
  • Circulation

Recent published papers involving Cohen cover a range of topics and venues:

  • Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks, 2022, arXiv (Cornell University)
  • Transformer Memory as a Differentiable Search Index, 2022, arXiv (Cornell University)
  • Recovering Implicit Thread Structure in Newsgroup Style Conversations, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?, 2022, Transactions of the Association for Computational Linguistics

Frequent co-authors of Cohen include:

  • Haitian Sun
  • Pat Verga
  • Wenhu Chen
  • Bhuwan Dhingra
  • Michiel de Jong

In 2009, Cohen was recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for significant contributions to theory and practice in the field of machine learning.

Best Publications

  • Fast effective rule induction

    William W. Cohen

  • Proceedings of the 25th international conference on Machine learning

    William Cohen;Andrew McCallum;Sam Roweis

  • A comparison of string distance metrics for name-matching tasks

    William W. Cohen;Pradeep Ravikumar;Stephen E. Fienberg

  • Recommendation as classification: using social and content-based information in recommendation

    Chumki Basu;Haym Hirsh;William Cohen

  • HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

    Zhilin Yang;Peng Qi;Saizheng Zhang;Yoshua Bengio

  • Revisiting semi-supervised learning with graph embeddings

    Zhilin Yang;William W. Cohen;Ruslan Salakhutdinov

  • Context-sensitive learning methods for text categorization

    William W. Cohen;Yoram Singer

  • Never-ending learning

    T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar

  • Never-ending learning

    T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar

  • Learning to order things

    William W. Cohen;Robert E. Schapire;Yoram Singer

  • Semi-Markov Conditional Random Fields for Information Extraction

    Sunita Sarawagi;William W. Cohen

  • Learning Rules that Classify E-Mail

    William W. Cohen

  • Adaptive name matching in information integration

    M. Bilenko;R. Mooney;W. Cohen;P. Ravikumar

  • Relational retrieval using a combination of path-constrained random walks

    Ni Lao;William W. Cohen

  • Random Walk Inference and Learning in A Large Scale Knowledge Base

    Ni Lao;Tom Mitchell;William W. Cohen

  • Integration of heterogeneous databases without common domains using queries based on textual similarity

    William W. Cohen

  • Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval

    Cheng Xiang Zhai;William W. Cohen;John Lafferty

  • A simple, fast, and effective rule learner

    William W. Cohen;Yoram Singer

  • PubMedQA: A Dataset for Biomedical Research Question Answering

    Qiao Jin;Bhuwan Dhingra;Zhengping Liu;William W. Cohen

  • Learning to match and cluster large high-dimensional data sets for data integration

    William W. Cohen;Jacob Richman

  • Ordered landmarks in planning

    Jörg Hoffmann;Julie Porteous;Laura Sebastia

Frequent Co-Authors

Kenneth R. Koedinger
Kenneth R. Koedinger Carnegie Mellon University
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Lidong Bing
Lidong Bing Carnegie Mellon University
Haym Hirsh
Haym Hirsh Cornell University
William Yang Wang
William Yang Wang University of California, Santa Barbara
Robert F. Murphy
Robert F. Murphy Carnegie Mellon University
Yoram Singer
Yoram Singer Princeton University
Tom M. Mitchell
Tom M. Mitchell Carnegie Mellon University
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Jamie Callan
Jamie Callan Carnegie Mellon University

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