World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
66
Citations
14134
World Ranking
1443
National Ranking
474

Vincent Conitzer publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Vincent Conitzer sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 285 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Vincent Conitzer D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Vincent Conitzer sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 66 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2019 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the advancement of artificial intelligence through integration with economics and philosophy, including game theory, mechanism design, social choice, and ethics.
  • 2019 - ACM Fellow For contributions to game theory, social choice theory, and mechanism design
  • 2015 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2008 - Fellow of Alfred P. Sloan Foundation

Overview

Vincent Conitzer is affiliated with Carnegie Mellon University in the United States. Their research spans multiple fields and subfields, predominantly in decision sciences and computer science. Key subfields of study include management science and operations research, economics and econometrics, artificial intelligence, computer networks and communications, and information systems.

The scientist's work extensively covers several main topics related to game theory and its applications. These topics include:

  • Auction Theory and Applications
  • Game Theory and Applications
  • Game Theory and Voting Systems
  • Optimization and Search Problems
  • Law, Economics, and Judicial Systems
  • Expert Finding and Q&A Systems
  • Ethics and Social Impacts of AI

Vincent Conitzer has published research in a variety of venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • ACM SIGecom Exchanges
  • Operations Research

Recent papers authored or co-authored by Vincent Conitzer include:

  • "Interpretable, not black-box, artificial intelligence should be used for embryo selection" (2021), published in Human Reproduction Open
  • "Adapting a kidney exchange algorithm to align with human values" (2020), published in Artificial Intelligence
  • "Computational ethics" (2022), published in Trends in Cognitive Sciences
  • "Computing Optimal Strategies to Commit to in Stochastic Games" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments" (2020), published on arXiv (Cornell University)

Frequent collaborators with whom Vincent Conitzer has published include Caspar Oesterheld, Walter Sinnott-Armstrong, Hanrui Zhang, Jana Schaich Borg, and Emanuel Tewolde.

Among the awards received, Vincent Conitzer has been recognized as an ACM Fellow (2019) for contributions to game theory, social choice theory, and mechanism design. In the same year, they were named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for substantial work integrating artificial intelligence with economics and philosophy. Other fellowships include those from the John Simon Guggenheim Memorial Foundation (2015) and the Alfred P. Sloan Foundation (2008).

Best Publications

  • Handbook of Computational Social Choice

    Felix Brandt;Vincent Conitzer;Ulle Endriss;Jérôme Lang;Jérôme Lang

  • 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

  • New complexity results about Nash equilibria

    Vincent Conitzer;Tuomas W Sandholm

  • Complexity of mechanism design

    Vincent Conitzer;Tuomas Sandholm

  • Stackelberg vs. Nash in security games: an extended investigation of interchangeability, equivalence, and uniqueness

    Dmytro Korzhyk;Zhengyu Yin;Christopher Kiekintveld;Vincent Conitzer

  • Complexity results about Nash equilibria

    Vincent Conitzer;Tüomas Sandholm

  • AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents

    Vincent Conitzer;Tuomas Sandholm

  • Determining possible and necessary winners under common voting rules given partial orders

    Lirong Xia;Vincent Conitzer

  • Justified representation in approval-based committee voting

    Haris Aziz;Markus Brill;Vincent Conitzer;Edith Elkind

  • Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases

    Vincent Conitzer;Curtis R. Taylor;Liad Wagman

  • A double oracle algorithm for zero-sum security games on graphs

    Manish Jain;Dmytro Korzhyk;Ondřej Vaněk;Vincent Conitzer

  • Complexity of computing optimal stackelberg strategies in security resource allocation games

    Dmytro Korzhyk;Vincent Conitzer;Ronald Parr

  • Improved bounds for computing Kemeny rankings

    Vincent Conitzer;Andrew Davenport;Jayant Kalagnanam

  • Communication complexity of common voting rules

    Vincent Conitzer;Tuomas Sandholm

  • Complexity of constructing solutions in the core based on synergies among coalitions

    Vincent Conitzer;Tuomas Sandholm

  • Common voting rules as maximum likelihood estimators

    Vincent Conitzer;Tuomas Sandholm

  • Moral decision making frameworks for artificial intelligence

    Vincent Conitzer;Walter Sinnott-Armstrong;Jana Schaich Borg;Yuan Deng

  • Mixed-integer programming methods for finding Nash equilibria

    Thomas Sandholm;Andrew Gilpin;Vincent Conitzer

  • Preference functions that score rankings and maximum likelihood estimation

    Vincent Conitzer;Matthew Rognlie;Lirong Xia

  • Computing shapley values, manipulating value division schemes, and checking core membership in multi-issue domains

    Vincent Conitzer;Tuomas Sandholm

Frequent Co-Authors

Tuomas Sandholm
Tuomas Sandholm Carnegie Mellon University
Lirong Xia
Lirong Xia Rutgers, The State University of New Jersey
Makoto Yokoo
Makoto Yokoo Kyushu University
Jérôme Lang
Jérôme Lang Paris Dauphine University
David C. Parkes
David C. Parkes Harvard University
Ronald Parr
Ronald Parr Duke University
Milind Tambe
Milind Tambe Harvard University
Subhash Suri
Subhash Suri University of California, Santa Barbara
Ariel D. Procaccia
Ariel D. Procaccia Harvard University

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