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Computer Science

D-Index
77
Citations
35325
World Ranking
1236
National Ranking
654

Yoav Shoham 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 Yoav Shoham 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: 300 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Yoav Shoham 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 Yoav Shoham 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: 77 D-Index — 91st percentile

91% 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

  • 2017 - AAAI Feigenbaum Prize "For high-impact basic research in artificial intelligence — including knowledge representation, multiagent systems, and computational game theory — and translating the basic research into impactful and innovative commercial products."
  • 2012 - ACM AAAI Allen Newell Award For fundamental contributions at the intersection of computer science, game theory, and economics, most particularly in multi-agent systems and social coordination (broadly construed), which have yielded major contributions to all three disciplines.
  • 2012 - ACM Fellow For contributions at the intersection of artificial intelligence, logic, and economics.
  • 1998 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For fundamental contributions concerning logics of time, knowledge, and belief that have resulted in significant advances in reasoning about time and change.

Overview

Yoav Shoham is affiliated with Stanford University in the United States. Their research primarily spans the field of computer science, with a strong focus on artificial intelligence. The subfields of study that their work contributes to include artificial intelligence, information systems, language and linguistics, linguistics and language, and computer vision and pattern recognition.

The main topics covered in their publications include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech Recognition and Synthesis
  • Text Readability and Simplification
  • Software Engineering Research
  • AI-based Problem Solving and Planning
  • Language, Discourse, Communication Strategies

Yoav Shoham has published at notable venues, most frequently appearing in arXiv (Cornell University) and the Transactions of the Association for Computational Linguistics. Their recent papers include:

  • In-Context Retrieval-Augmented Language Models, 2023, Transactions of the Association for Computational Linguistics
  • Artificial Intelligence Index Report 2023, 2023, arXiv (Cornell University)
  • Artificial Intelligence Index Report 2024, 2024, arXiv (Cornell University)
  • The Cost of Training NLP Models: A Concise Overview, 2020, arXiv (Cornell University)
  • MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning, 2022, arXiv (Cornell University)

Frequent co-authors collaborating with Yoav Shoham include:

  • Yoav Levine
  • Kevin Leyton-Brown
  • Dor Muhlgay
  • Amnon Shashua
  • Omri Abend

Several awards have been conferred to Yoav Shoham over their career. These include the AAAI Feigenbaum Prize in 2017, awarded for research in artificial intelligence and applications. In 2012, they received the ACM AAAI Allen Newell Award for contributions intersecting computer science, game theory, and economics.

Additional recognitions include being named an ACM Fellow in 2012 for contributions at the intersection of artificial intelligence, logic, and economics, and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1998, acknowledging advances in reasoning about time and change within logic systems.

Best Publications

  • Fab: content-based, collaborative recommendation

    Marko Balabanović;Yoav Shoham

  • Agent-oriented programming

    Yoav Shoham

  • Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

    Yoav Shoham;Kevin Leyton-Brown

  • Truth revelation in approximately efficient combinatorial auctions

    Daniel Lehmann;Liadan Ita Oćallaghan;Yoav Shoham

  • Combinatorial Auctions

    Peter Cramton;Yoav Shoham;Richard Steinberg

  • Reasoning About Change: Time and Causation from the Standpoint of Artificial Intelligence

    Yoav Shoham

  • On social laws for artificial agent societies: off-line design

    Yoav Shoham;Moshe Tennenholtz

  • Content-Based, Collaborative Recommendation.

    Marko Balabanovic;Yoav Shoham

  • Essentials of Game Theory: A Concise, Multidisciplinary Introduction

    Kevin Leyton-Brown;Yoav Shoham

  • Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches

    Yuzo Fujishima;Kevin Leyton-Brown;Yoav Shoham

  • A propositional modal logic of time intervals

    Joseph Y. Halpern;Yoav Shoham

  • On the Synthesis of Useful Social Laws for Artificial Agent Societies (Preliminary Report).

    Yoav Shoham;Moshe Tennenholtz

  • If multi-agent learning is the answer, what is the question?

    Yoav Shoham;Rob Powers;Trond Grenager

  • Towards a universal test suite for combinatorial auction algorithms

    Kevin Leyton-Brown;Mark Pearson;Yoav Shoham

  • Temporal logics in AI: semantical and ontological considerations

    Yoav Shoham

  • On the synthesis of useful social laws for artificial agent societies

    Yoav Shoham;Moshe Tennenholtz

  • On the emergence of social conventions: modeling, analysis, and simulations

    Yoav Shoham;Moshe Tennenholtz

  • Multi-Agent Reinforcement Learning:a critical survey

    Yoav Shoham;Rob Powers;Trond Grenager

  • In-Context Retrieval-Augmented Language Models

    Unknown

  • A semantical approach to nonmonotonic logics

    Y. Shoham

  • Essentials of game theory

    Kevin Leyton-Brown;Yoav Shoham

Frequent Co-Authors

Kevin Leyton-Brown
Kevin Leyton-Brown University of British Columbia
Moshe Tennenholtz
Moshe Tennenholtz Technion – Israel Institute of Technology
Michael P. Wellman
Michael P. Wellman University of Michigan–Ann Arbor
Ronen I. Brafman
Ronen I. Brafman Ben-Gurion University of the Negev
Felix Brandt
Felix Brandt Technical University of Munich
Yoram Moses
Yoram Moses Technion – Israel Institute of Technology
Peter Cramton
Peter Cramton University of Maryland, College Park
Jean-Claude Latombe
Jean-Claude Latombe Stanford University
Joseph Y. Halpern
Joseph Y. Halpern Cornell University
Drew McDermott
Drew McDermott Yale University

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