World's Best Scientists 2026 revealed!
Vincent Mousseau

Vincent Mousseau

D-Index & Metrics

Computer Science

D-Index
33
Citations
6974
World Ranking
12442
National Ranking
315

Vincent Mousseau 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 Vincent Mousseau 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: 164 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Vincent Mousseau 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 Vincent Mousseau 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Vincent Mousseau is affiliated with CentraleSupélec in France and has contributed extensively to the fields of Computer Science and Decision Sciences. Their work spans multiple subfields, including Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Economics and Econometrics, and Signal Processing.

The scientist's research topics cover a range of areas with a strong emphasis on Multi-Criteria Decision Making, Bayesian Modeling and Causal Inference, and Rough Sets and Fuzzy Logic. Other notable topics include Data Management and Algorithms, Explainable Artificial Intelligence (XAI), Constraint Satisfaction and Optimization, and Economic and Environmental Valuation.

Vincent Mousseau has published several papers in prominent venues. Key publications include:

  • Multiple criteria sorting models and methods-Part I: survey of the literature, 2023, 4OR
  • Multiple criteria sorting models and methods. Part II: theoretical results and general issues, 2023, 4OR
  • Preference elicitation for a ranking method based on multiple reference profiles, 2021, 4OR
  • Learning non-compensatory sorting models using efficient SAT/MaxSAT formulations, 2021, European Journal of Operational Research
  • An interactive approach for inverse multiple criteria sorting problem, 2020, Journal of Multi-Criteria Decision Analysis

In addition to journal articles, Mousseau has contributed to book publications. One notable work is the book titled Intelligent Decision Support Systems, published in 2022 by Springer International Publishing.

Mousseau's research collaborations include frequent co-authors such as Wassila Ouerdane, Khaled Belahcène, Marc Pirlot, Olivier Sobrie, and Özgür Özpeynirci. These collaborations reflect ongoing work within related research areas and contribute to a consistent presence in key academic circles.

The most frequent publication venues for Vincent Mousseau's work include:

  • 4OR
  • Annals of Operations Research
  • European Journal of Operational Research
  • Computers & Operations Research
  • Journal of Multi-Criteria Decision Analysis

This body of research highlights a sustained focus on decision-making methodologies and optimization techniques within operational research and artificial intelligence contexts.

Best Publications

  • Inferring an ELECTRE TRI Model from Assignment Examples

    V. Mousseau;R. Slowinski

  • Ordinal regression revisited: multiple criteria ranking using a set of additive value functions

    Salvatore Greco;Vincent Mousseau;Roman Słowiński;Roman Słowiński

  • A user-oriented implementation of the ELECTRE-TRI method integrating preference elicitation support

    V. Mousseau;R. Slowinski;P. Zielniewicz

  • Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results

    Vincent Mousseau;José Rui Figueira;José Rui Figueira;J.-Ph. Naux

  • An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI

    Luis C. Dias;Vincent Mousseau;José Rui Figueira;João C. N. Clímaco

  • Resolving inconsistencies among constraints on the parameters of an MCDA model

    Vincent Mousseau;Vincent Mousseau;José Rui Figueira;José Rui Figueira;Luis C. Dias;Carlos Gomes da Silva

  • A Theoretical Framework for Analysing the Notion of Relative Importance of Criteria

    Bernard Roy;Vincent Mousseau

  • Multiple criteria sorting with a set of additive value functions

    Salvatore Greco;Vincent Mousseau;Roman Słowiński

  • Electre Methods

    Unknown

  • Valued outranking relations in ELECTRE providing manageable disaggregation procedures

    Vincent Mousseau;Vincent Mousseau;Luis C. Dias

  • Inferring Electre’s veto-related parameters from outranking examples

    Luis C. Dias;Vincent Mousseau;Vincent Mousseau

  • Supporting groups in sorting decisions: methodology and use of a multi-criteria aggregation-disaggregation DSS

    Sébastien Damart;Luis Dias;Vincent Mousseau

  • Supporting groups in sorting decisions: Methodology and use of a multi-criteria aggregation/disaggregation DSS

    Sébastien Damart;Luis C. Dias;Vincent Mousseau

  • Using Assignment Examples to Infer Category Limits for the ELECTRE TRI Method

    Vincent Mousseau

  • GIS-based multicriteria spatial modeling generic framework

    S. Chakhar;V. Mousseau

  • Eliciting Information Concerning the Relative Importance of Criteria

    Vincent Mousseau

  • Robust Ordinal Regression.

    Salvatore Greco;Roman Slowinski;José Rui Figueira;Vincent Mousseau

  • Robust ordinal regression for multiple criteria group decision: UTAGMS-GROUP and UTADISGMS-GROUP

    Salvatore Greco;Miłosz Kadziński;Vincent Mousseau;Roman Słowiński

  • ELECTREGKMS: Robust ordinal regression for outranking methods

    Salvatore Greco;Miłosz Kadziński;Vincent Mousseau;Roman Słowiński;Roman Słowiński

  • ELECTRE Methods

    Unknown

  • IRIS: a DSS for multiple criteria sorting problems

    Luís C. Dias;Vincent Mousseau

  • Robust ordinal regression for value functions handling interacting criteria

    Salvatore Greco;Vincent Mousseau;Roman Słowiński;Roman Słowiński

  • Robust Ordinal Regression

    Salvatore Corrente;Salvatore Greco;Miłosz Kadziński;Roman Słowiński;Roman Słowiński

Frequent Co-Authors

Luis C. Dias
Luis C. Dias University of Coimbra
José Rui Figueira
José Rui Figueira Instituto Superior Técnico
Roman Słowiński
Roman Słowiński Poznań University of Technology
Salvatore Greco
Salvatore Greco University of Portsmouth
Nicolas Maudet
Nicolas Maudet Sorbonne University
Enrico Zio
Enrico Zio Polytechnic University of Milan
Bernard Roy
Bernard Roy Paris Dauphine University
Yassin A. Hassan
Yassin A. Hassan Texas A&M University
Miłosz Kadziński
Miłosz Kadziński Poznań University of Technology
Nicolas Gillis
Nicolas Gillis University of Mons

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