World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5967
World Ranking
9813
National Ranking
176

Ulle Endriss 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 Ulle Endriss 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: 183 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Ulle Endriss 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 Ulle Endriss 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Ulle Endriss is affiliated with the University of Amsterdam in the Netherlands. Their research spans several fields, predominantly Economics, Econometrics and Finance, Decision Sciences, and Computer Science. Within these broader fields, Endriss focuses on subfields such as Economics and Econometrics, Management Science and Operations Research, Artificial Intelligence, General Decision Sciences, and Computer Networks and Communications.

The main topics of Endriss's work include:

  • Game Theory and Voting Systems
  • Auction Theory and Applications
  • Logic, Reasoning, and Knowledge
  • Decision-Making and Behavioral Economics
  • Multi-Agent Systems and Negotiation
  • Multi-Criteria Decision Making
  • Bayesian Modeling and Causal Inference

Endriss has published extensively, with notable recent papers including:

  • "Autonomous agents and multiagent systems" (2021) published in AI Matters
  • "The Complexity Landscape of Outcome Determination in Judgment Aggregation" (2020) published in Journal of Artificial Intelligence Research
  • "Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence

Other relevant publications related through coauthors include "The Borda class" (2020) in Journal of Mathematical Economics and "A general framework for participatory budgeting with additional constraints" (2023) in Social Choice and Welfare.

Endriss frequently collaborates with several coauthors, such as:

  • Simon Rey
  • Zoi Terzopoulou
  • Ronald de Haan
  • Arthur Boixel
  • Adrian Haret

Their works have appeared in several publication venues repeatedly, including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • Autonomous Agents and Multi-Agent Systems

Best Publications

  • Handbook of Computational Social Choice

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

  • Issues in multiagent resource allocation

    Yann Chevaleyre;Paul E. Dunne;Ulle Endriss;Jerome Lang

  • A Short Introduction to Computational Social Choice

    Yann Chevaleyre;Ulle Endriss;Jérôme Lang;Nicolas Maudet

  • Declarative Agent Languages and Technologies IV

    Matteo Baldoni;Ulle Endriss;Andrea Omicini;Paolo Torroni

  • Computational Social Choice

    F. Brandt;U. Endriss

  • Negotiating socially optimal allocations of resources

    Ulle Endriss;Nicolas Maudet;Fariba Sadri;Francesca Toni

  • Monotonic concession protocols for multilateral negotiation

    Ulle Endriss

  • Complexity of judgment aggregation

    Ulle Endriss;Umberto Grandi;Daniele Porello

  • Conditional importance networks: a graphical language for representing ordinal, monotonic preferences over sets of goods

    Sylvain Bouveret;Ulle Endriss;Jérôme Lang

  • Voter response to iterated poll information

    Annemieke Reijngoud;Ulle Endriss

  • Automated search for impossibility theorems in social choice theory: ranking sets of objects

    Christian Geist;Ulle Endriss

  • Fair Division under Ordinal Preferences: Computing Envy-Free Allocations of Indivisible Goods

    Sylvain Bouveret;Ulle Endriss;Jérôme Lang

  • Reaching envy-free states in distributed negotiation settings

    Yann Chevaleyre;Ulle Endriss;Sylvia Estivie;Nicolas Maudet

  • Preference handling in combinatorial domains: From AI to social choice

    Yann Chevaleyre;Ulle Endriss;Jérôme Lang;Nicolas Maudet

  • Multiagent Resource Allocation with K -additive Utility Functions

    Nicolas Maudet;Sylvia Estivie;Ulle Endriss;Yann Chevaleyre

  • ABox Abduction in the Description Logic $oldsymbol{\mathcal{ALC}}$

    Szymon Klarman;Ulle Endriss;Stefan Schlobach

  • Logic-based agent communication protocols

    Ulle Endriss;Nicolas Maudet;Fariba Sadri;Francesca Toni

  • Expressive power of weighted propositional formulas for cardinal preference modelling

    Yann Chevaleyre;Ulle Endriss;Jérôme Lang

  • Bidding languages and winner determination for mixed multi-unit combinatorial auctions

    Jesús Cerquides;Ulle Endriss;Andrea Giovannucci;Juan A. Rodríguez-Aguilar

  • Introduction to Computational Social Choice

    Felix Brandt;Vincent Conitzer;Ulle Endriss;Jérôme Lang

  • Computational Social Choice: Prospects and Challenges

    Ulle Endriss

  • Negotiating Socially Optimal Allocations of Resources: An Overview

    Ulle Endriss;Nicolas Maudet;Fariba Sadri;Francesca Toni

Frequent Co-Authors

Nicolas Maudet
Nicolas Maudet Sorbonne University
Jérôme Lang
Jérôme Lang Paris Dauphine University
Francesca Toni
Francesca Toni Imperial College London
Juan A. Rodríguez-Aguilar
Juan A. Rodríguez-Aguilar Spanish National Research Council
Francesca Rossi
Francesca Rossi IBM (United States)
Felix Brandt
Felix Brandt Technical University of Munich
Tuomas Sandholm
Tuomas Sandholm Carnegie Mellon University
Sarit Kraus
Sarit Kraus Bar-Ilan University
Ariel D. Procaccia
Ariel D. Procaccia Harvard University
Vincent Conitzer
Vincent Conitzer Carnegie Mellon University

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