World's Best Scientists 2026 revealed!
Nicolas Maudet

Nicolas Maudet

D-Index & Metrics

Computer Science

D-Index
32
Citations
4796
World Ranking
13110
National Ranking
336

Nicolas Maudet 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 Nicolas Maudet 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: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Nicolas Maudet 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 Nicolas Maudet 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Nicolas Maudet is a researcher affiliated with Sorbonne University in France. Their work spans several disciplines including Computer Science, Decision Sciences, and Economics, Econometrics and Finance. Within these fields, Maudet has contributed extensively to subfields such as Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Computer Networks and Communications, and Computational Theory and Mathematics.

Their research topics cover a diverse range of areas including Game Theory and Voting Systems, Auction Theory and Applications, Bayesian Modeling and Causal Inference, Logic, Reasoning, and Knowledge, Explainable Artificial Intelligence (XAI), Economic theories and models, and Multi-Agent Systems and Negotiation.

Among recent publications, Maudet's work includes:

  • "A parametrized ranking-based semantics compatible with persuasion principles," 2020, Argument & Computation
  • "Sequential and Swap Mechanisms for Public Housing Allocation with Quotas and Neighbourhood-based Utilities," 2022, ACM Transactions on Economics and Computation
  • "Questionable stepwise explanations for a robust additive preference model," 2023, International Journal of Approximate Reasoning
  • "An Optimal Procedure to Check Pareto-Optimality in House Markets with Single-Peaked Preferences," 2020, arXiv (Cornell University)
  • "Swap dynamics in single-peaked housing markets," 2021, Autonomous Agents and Multi-Agent Systems

Their frequent co-authors include Aurélie Beynier, Parham Shams, Wassila Ouerdane, Nicolas Bredèche, and Elise Bonzon. Among these, Aurélie Beynier stands out as a recurring collaborator with multiple joint works.

Maudet's research has been published in notable venues with multiple contributions to arXiv (Cornell University), Autonomous Agents and Multi-Agent Systems, Argument & Computation, International Journal of Approximate Reasoning, and ACM Transactions on Economics and Computation.

Best Publications

  • Issues in multiagent resource allocation

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

  • Modelling dialogues using argumentation

    L. Amgoud;N. Maudet;S. Parsons

  • A Short Introduction to Computational Social Choice

    Yann Chevaleyre;Ulle Endriss;Jérôme Lang;Nicolas Maudet

  • Arguments, dialogue, and negotiation

    Leila Amgoud;Simon Parsons;Nicolas Maudet

  • Negotiating socially optimal allocations of resources

    Ulle Endriss;Nicolas Maudet;Fariba Sadri;Francesca Toni

  • Fair Allocation of Indivisible Goods

    Sylvain Bouveret;Yann Chevaleyre;Nicolas Maudet

  • Commitment-based and dialogue-game-based protocols: new trends in agent communication languages

    N. Maudet;B. Chaib-Draa

  • A comparative study of ranking-based semantics for abstract argumentation

    Elise Bonzon;Jérôme Delobelle;Sébastien Konieczny;Nicolas Maudet

  • Protocol conformance for logic-based agents

    Ulrich Endriss;Nicolas Maudet;Fariba Sadri;Francesca Toni

  • 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

  • Strategical considerations for argumentative agents (preliminary report).

    Leila Amgoud;Nicolas Maudet

  • Multiagent Resource Allocation with K -additive Utility Functions

    Nicolas Maudet;Sylvia Estivie;Ulle Endriss;Yann Chevaleyre

  • An argumentation-based semantics for agent communication languages

    Leila Amgoud;Nicolas Maudet;Simon Parsons

  • Logic-based agent communication protocols

    Ulle Endriss;Nicolas Maudet;Fariba Sadri;Francesca Toni

  • Argumentation in Multi-Agent Systems: Context and Recent Developments

    Nicolas Maudet;Simon Parsons;Iyad Rahwan

  • A Comparative Study of Ranking-based Semantics for Abstract Argumentation

    Elise Bonzon;Jérôme Delobelle;Sébastien Konieczny;Nicolas Maudet

  • On optimal outcomes of negotiations over resources

    Ulrich Endriss;Nicolas Maudet;Fariba Sadri;Francesca Toni

  • Multiagent resource allocation in k -additive domains: preference representation and complexity

    Yann Chevaleyre;Ulle Endriss;Sylvia Estivie;Nicolas Maudet

  • New candidates welcome! Possible winners with respect to the addition of new candidates

    Yann Chevaleyre;Jérôme Lang;Jérôme Lang;Nicolas Maudet;Jérôme Monnot;Jérôme Monnot

  • Possible winners when new candidates are added: the case of scoring rules

    Yann Chevaleyre;Jerome Lang;Nicolas Maudet;Jerome Monnot

  • Negotiating Socially Optimal Allocations of Resources: An Overview

    Ulle Endriss;Nicolas Maudet;Fariba Sadri;Francesca Toni

Frequent Co-Authors

Ulle Endriss
Ulle Endriss University of Amsterdam
Jérôme Lang
Jérôme Lang Paris Dauphine University
Francesca Toni
Francesca Toni Imperial College London
Simon Parsons
Simon Parsons University of Lincoln
Vincent Mousseau
Vincent Mousseau CentraleSupélec
Leila Amgoud
Leila Amgoud Centre national de la recherche scientifique, CNRS
Iyad Rahwan
Iyad Rahwan Max Planck Institute for Human Development
Antonis C. Kakas
Antonis C. Kakas University of Cyprus
Brahim Chaib-draa
Brahim Chaib-draa Université Laval
Peter McBurney
Peter McBurney King's College London

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