World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
23133
World Ranking
1414
National Ranking
735

David C. Parkes 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 David C. Parkes 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: 385 publications — 86th percentile

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

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

David C. Parkes 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 David C. Parkes 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: 75 D-Index — 90th percentile

90% 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

  • 2018 - ACM Fellow For contributions to computational markets, including novel mechanism design and incentive engineering methods
  • 2014 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to multi-agent systems research through advances in auctions and mechanism design and development of the CS-economics research community.
  • 2005 - Fellow of Alfred P. Sloan Foundation

Overview

David C. Parkes is affiliated with Harvard University in the United States. Their research spans multiple domains including Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics, Marketing, and Safety Research. Their work notably addresses topics such as Auction Theory and Applications, Consumer Market Behavior and Pricing, Blockchain Technology Applications and Security, Experimental Behavioral Economics Studies, Game Theory and Applications, Digital Platforms and Economics, and Game Theory and Voting Systems.

Key recent publications include:

  • Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence, 2022, arXiv (Cornell University)
  • Optimal auctions through deep learning, 2021, Communications of the ACM
  • The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning, 2022, Science Advances
  • AI can help humans find common ground in democratic deliberation, 2024, Science
  • Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration, 2021, Topics in Cognitive Science

They frequently publish in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Harvard Data Science Review
  • SSRN Electronic Journal
  • Communications of the ACM

David C. Parkes collaborates regularly with several coauthors, including:

  • Stephan Zheng
  • Sai Srivatsa Ravindranath
  • Daniel J. Moroz
  • Paul Dütting
  • Alexander Trott

The scientist has been recognized as a Fellow by multiple organizations, reflecting their involvement in computational markets and multi-agent systems research. Awards include:

  • ACM Fellow (2018) for contributions to computational markets including novel mechanism design and incentive engineering methods
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2014) for significant contributions to multi-agent systems research and development of the CS-economics research community
  • Fellow of Alfred P. Sloan Foundation (2005)

Best Publications

  • Secure data interchange

    Frederick S. M. Herz;Walter Paul Labys;David C. Parkes;Sampath Kannan

  • Iterative Combinatorial Auctions

    David C. Parkes

  • Location enhanced information delivery system

    Frederick Herz;Jonathan M. Smith;David C. Parkes

  • Iterative Combinatorial Auctions: Theory and Practice

    David C. Parkes;Lyle H. Ungar

  • Iterative combinatorial auctions: achieving economic and computational efficiency

    David Christopher Parkes;Lyle H. Ungar

  • Computational-mechanism design: a call to arms

    R.K. Dash;N.R. Jennings;D.C. Parkes

  • Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence

    Peter Stone;Rodney Brooks;Erik Brynjolfsson;Ryan Calo

  • Rationality and Self-Interest in Peer to Peer Networks

    Jeffrey Shneidman;David C. Parkes

  • Achieving budget-balance with Vickrey-based payment schemes in exchanges

    David C. Parkes;Jayant Kalagnanam;Marta Eso

  • iBundle: an efficient ascending price bundle auction

    David C. Parkes

  • Truth, justice, and cake cutting

    Yiling Chen;John K. Lai;David C. Parkes;Ariel D. Procaccia

  • Economic reasoning and artificial intelligence

    David C. Parkes;Michael P. Wellman

  • Adaptive limited-supply online auctions

    Mohammad Taghi Hajiaghayi;Robert Kleinberg;David C. Parkes

  • Beyond dominant resource fairness: extensions, limitations, and indivisibilities

    David C. Parkes;Ariel D. Procaccia;Nisarg Shah

  • Mirage: a microeconomic resource allocation system for sensornet testbeds

    B.N. Chun;P. Buonadonna;A. AuYoung;Chaki Ng

  • Decentralized, adaptive resource allocation for sensor networks

    Geoffrey Mainland;David C. Parkes;Matt Welsh

  • The price of selfish behavior in bilateral network formation

    Jacomo Corbo;David Parkes

  • On non-cooperative location privacy: a game-theoretic analysis

    Julien Freudiger;Mohammad Hossein Manshaei;Jean-Pierre Hubaux;David C. Parkes

  • An MDP-Based Approach to Online Mechanism Design

    David C Parkes;Satinder P. Singh

  • Human computation tasks with global constraints

    Haoqi Zhang;Edith Law;Rob Miller;Krzysztof Gajos

  • Online auctions with re-usable goods

    Mohammad T. Hajiaghayi

  • Pricing WiFi at Starbucks: issues in online mechanism design

    Eric J. Friedman;David C. Parkes

Frequent Co-Authors

Tuomas Sandholm
Tuomas Sandholm Carnegie Mellon University
Yiling Chen
Yiling Chen Harvard University
James Zou
James Zou Stanford University
Lirong Xia
Lirong Xia Rutgers, The State University of New Jersey
Margo Seltzer
Margo Seltzer University of British Columbia
Subhash Suri
Subhash Suri University of California, Santa Barbara
Eric Horvitz
Eric Horvitz Microsoft (United States)
Craig Boutilier
Craig Boutilier Google (United States)
Ariel D. Procaccia
Ariel D. Procaccia Harvard University
Vincent Conitzer
Vincent Conitzer Carnegie Mellon University

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