World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
93
Citations
30861
World Ranking
526
National Ranking
280

Tuomas Sandholm 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 Tuomas Sandholm 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: 436 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Tuomas Sandholm 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 Tuomas Sandholm 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: 93 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

  • 2014 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
  • 2008 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the foundations of multiagent systems and computational game theory, pioneering work in combinatorial auctions, multiagent preference elicitation, and automated mechanism design, and principles and large-scale application of electronic marketplaces.
  • 2008 - ACM Fellow For contributions to combinatorial auctions and mechanism design.
  • 2003 - Fellow of Alfred P. Sloan Foundation

Overview

Tuomas Sandholm is affiliated with Carnegie Mellon University in United States. Their work spans multiple areas within computer science and decision sciences, with a significant focus on management science and operations research as well as artificial intelligence.

Their recent papers cover diverse topics primarily published between 2020 and 2024. Notable publications include:

  • Dynamic Matching via Weighted Myopia with Application to Kidney Exchange, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Using machine learning to improve survival prediction after heart transplantation, 2021, Journal of Cardiac Surgery
  • Ignorance Is Almost Bliss: Near-Optimal Stochastic Matching with Few Queries, 2020, Operations Research
  • Optimal Auctions for Spiteful Bidders, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • How Much Data Is Sufficient to Learn High-Performing Algorithms?, 2024, Journal of the ACM

The primary fields of study for their work include:

  • Computer Science
  • Decision Sciences

The subfields reflect a detailed engagement with:

  • Management Science and Operations Research
  • Artificial Intelligence
  • Economics and Econometrics
  • Computational Theory and Mathematics
  • Safety Research

Major topics in their research focus on:

  • Advanced Bandit Algorithms Research
  • Game Theory and Applications
  • Reinforcement Learning in Robotics
  • Artificial Intelligence in Games
  • Auction Theory and Applications
  • Machine Learning and Algorithms
  • Experimental Behavioral Economics Studies

Sandholm frequently collaborates with a range of co-authors, including:

  • Gabriele Farina
  • Ioannis Anagnostides
  • Brian Hu Zhang
  • Maria-Florina Balcan
  • Christian Kroer

Their publications are commonly found in renowned academic venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Operations Research
  • Journal of the ACM
  • Proceedings of the 23rd ACM Conference on Economics and Computation

Throughout their career, Sandholm has received several prestigious recognitions, including:

  • Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), 2014
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2008, cited for contributions to multiagent systems, combinatorial auctions, and electronic marketplaces
  • ACM Fellow, 2008, recognized for contributions to combinatorial auctions and mechanism design
  • Fellow of Alfred P. Sloan Foundation, 2003

Best Publications

  • Algorithm for optimal winner determination in combinatorial auctions

    Tuomas Sandholm

  • Coalition structure generation with worst case guarantees

    Tuomas Sandholm;Kate Larson;Martin Andersson;Onn Shehory

  • Distributed rational decision making

    Tuomas W. Sandholm

  • An implementation of the contract net protocol based on marginal cost calculations

    Tuomas Sandholm

  • eMediator: A Next Generation Electronic Commerce Server

    Tuomas Sandholm

  • Coalitions among computationally bounded agents

    Tuomas W. Sandholm;Victor R. Lesser

  • Superhuman AI for heads-up no-limit poker: Libratus beats top professionals

    Noam Brown;Tuomas Sandholm

  • Superhuman AI for multiplayer poker

    Noam Brown;Noam Brown;Tuomas Sandholm

  • Issues in automated negotiation and electronic commerce: extending the contract net framework

    Tuomas Sandholm;Victor Lesser

  • Computing the optimal strategy to commit to

    Vincent Conitzer;Tuomas Sandholm

  • When are elections with few candidates hard to manipulate

    Vincent Conitzer;Tuomas Sandholm;Jérôme Lang

  • An algorithm for optimal winner determination in combinatorial auctions

    Tuomas Sandholm

  • Multiagent reinforcement learning in the Iterated Prisoner's Dilemma

    Tuomas W. Sandholm;Robert H. Crites

  • CABOB: A Fast Optimal Algorithm for Winner Determination in Combinatorial Auctions

    Tuomas Sandholm;Subhash Suri;Andrew Gilpin;David Levine

  • Clearing algorithms for barter exchange markets: enabling nationwide kidney exchanges

    David J. Abraham;Avrim Blum;Tuomas Sandholm

  • Issues in computational Vickrey auctions

    Tuomas Sandholm

  • Complexity of mechanism design

    Vincent Conitzer;Tuomas Sandholm

  • BOB: improved winner determination in combinatorial auctions and generalizations

    Tuomas Sandholm;Subhash Suri

  • Complexity results about Nash equilibria

    Vincent Conitzer;Tüomas Sandholm

  • Winner determination in combinatorial auction generalizations

    Tuomas Sandholm;Subhash Suri;Andrew Gilpin;David Levine

Frequent Co-Authors

Vincent Conitzer
Vincent Conitzer Carnegie Mellon University
Subhash Suri
Subhash Suri University of California, Santa Barbara
David C. Parkes
David C. Parkes Harvard University
Craig Boutilier
Craig Boutilier Google (United States)
Maria-Florina Balcan
Maria-Florina Balcan Carnegie Mellon University
Ariel D. Procaccia
Ariel D. Procaccia Harvard University
Victor Lesser
Victor Lesser University of Massachusetts Amherst
Felix Brandt
Felix Brandt Technical University of Munich
David I. Levine
David I. Levine University of California, Berkeley
Avrim Blum
Avrim Blum Toyota Technological Institute at Chicago

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