World's Best Scientists 2026 revealed!
Michal Feldman

Michal Feldman

D-Index & Metrics

Computer Science

D-Index
35
Citations
6775
World Ranking
11539
National Ranking
181

Michal Feldman 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 Michal Feldman 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Michal Feldman 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 Michal Feldman 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Michal Feldman is affiliated with Tel Aviv University in Israel. Their research spans several interconnected fields, primarily focusing on decision sciences, economics, econometrics, finance, and computer science. Within these broad areas, their work frequently touches upon management science and operations research, economics and econometrics, computer networks and communications, marketing, and computational theory and mathematics.

The main topics covered by Michal Feldman's research include:

  • Auction Theory and Applications
  • Game Theory and Voting Systems
  • Optimization and Search Problems
  • Economic theories and models
  • Game Theory and Applications
  • Consumer Market Behavior and Pricing
  • Law, Economics, and Judicial Systems

Their publication record comprises numerous papers with notable recent works such as:

  • On Maxsum Fair Cake Divisions (2021) - Proceedings of the AAAI Conference on Artificial Intelligence
  • Almost Full EFX Exists for Four Agents (2022) - Proceedings of the AAAI Conference on Artificial Intelligence
  • Prophet Matching with General Arrivals (2021) - Mathematics of Operations Research
  • (Almost Full) EFX Exists for Four Agents (and Beyond) (2021) - arXiv (Cornell University)
  • On Fair Division under Heterogeneous Matroid Constraints (2021) - Proceedings of the AAAI Conference on Artificial Intelligence

Michal Feldman has contributed substantially to academic literature, including at least one book published by Springer Science+Business Media titled Web and Internet Economics in 2022.

The scientist's collaborative network includes frequent co-authors such as Tomer Ezra, Nick Gravin, Alon Eden, Zhihao Gavin Tang, and Paul Dütting. These collaborations point to an interdisciplinary approach across economic theory, algorithmic game theory, and operations research.

Their work is commonly published in several venues with repeated contributions to:

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

Best Publications

  • Robust incentive techniques for peer-to-peer networks

    Michal Feldman;Kevin Lai;Ion Stoica;John Chuang

  • Free-riding and whitewashing in peer-to-peer systems

    M. Feldman;C. Papadimitriou;J. Chuang;I. Stoica

  • Overcoming free-riding behavior in peer-to-peer systems

    Michal Feldman;John Chuang

  • Peer-to-Peer Systems II

    M. Frans Kaashoek;Ion Stoica

  • Strong equilibrium in cost sharing connection games

    Amir Epstein;Michal Feldman;Yishay Mansour

  • Free-riding and whitewashing in peer-to-peer systems

    Michal Feldman;Christos Papadimitriou;John Chuang;Ion Stoica

  • Strong price of anarchy

    Nir Andelman;Michal Feldman;Yishay Mansour

  • Combinatorial auctions via posted prices

    Michal Feldman;Nick Gravin;Brendan Lucier

  • Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Nonstochastic Inputs

    Paul Dütting;Michal Feldman;Thomas Kesselheim;Brendan Lucier

  • Simultaneous auctions are (almost) efficient

    Michal Feldman;Hu Fu;Nick Gravin;Brendan Lucier

  • A price-anticipating resource allocation mechanism for distributed shared clusters

    Michal Feldman;Kevin Lai;Li Zhang

  • Strategyproof Approximation of the Minimax on Networks

    Noga Alon;Noga Alon;Michal Feldman;Michal Feldman;Ariel D. Procaccia;Moshe Tennenholtz;Moshe Tennenholtz

  • A note on competitive diffusion through social networks

    Noga Alon;Michal Feldman;Ariel D. Procaccia;Moshe Tennenholtz

  • On Voting and Facility Location

    Michal Feldman;Amos Fiat;Iddan Golomb

  • Signaling schemes for revenue maximization

    Yuval Emek;Michal Feldman;Iftah Gamzu;Renato PaesLeme

  • Strong equilibrium in cost sharing connection games

    Amir Epstein;Michal Feldman;Yishay Mansour

  • On the approximability of Dodgson and Young elections

    Ioannis Caragiannis;Jason A. Covey;Michal Feldman;Christopher M. Homan

  • Ten millennia of hepatitis B virus evolution

    Arthur Kocher;Luka Papac;Rodrigo Barquera;Felix M. Key

  • Quantifying Disincentives in Peer-to-Peer Networks

    Michal Feldman;Kevin Lai;John Chuang;Ion Stoica

  • The Proportional-Share Allocation Market for Computational Resources

    M. Feldman;K. Lai;Li Zhang

  • Strategyproof facility location and the least squares objective

    Michal Feldman;Yoav Wilf

  • Mechanism design on discrete lines and cycles

    Elad Dokow;Michal Feldman;Reshef Meir;Ilan Nehama

  • Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Non-Stochastic Inputs

    Paul Duetting;Michal Feldman;Thomas Kesselheim;Brendan Lucier

  • Combinatorial agency

    Moshe Babaioff;Michal Feldman;Noam Nisan

Frequent Co-Authors

Moshe Tennenholtz
Moshe Tennenholtz Technion – Israel Institute of Technology
Amos Fiat
Amos Fiat Tel Aviv University
Johannes Krause
Johannes Krause Max Planck Society
Noga Alon
Noga Alon Tel Aviv University
Wolfgang Haak
Wolfgang Haak Max Planck Society
Uriel Feige
Uriel Feige Weizmann Institute of Science
Yishay Mansour
Yishay Mansour Tel Aviv University
Noam Nisan
Noam Nisan Hebrew University of Jerusalem
John Chuang
John Chuang University of California, Berkeley
Ariel D. Procaccia
Ariel D. Procaccia Harvard University

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