World's Best Scientists 2026 revealed!
Award Badge
Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
14070
World Ranking
3809
National Ranking
72

Marc Schoenauer 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 Marc Schoenauer 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: 348 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Marc Schoenauer 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 Marc Schoenauer 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: 57 D-Index — 74th percentile

74% 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

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Marc Schoenauer is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research spans multiple subfields of computer science and engineering, emphasizing artificial intelligence and applications of evolutionary computation.

The main fields of study covered by their work include:

  • Computer Science
  • Engineering

Within these disciplines, they have contributed extensively to subfields such as:

  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Computational Mechanics

The core topics of their research reflect a focus on optimization and machine learning methods, including:

  • Model Reduction and Neural Networks
  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • Advanced Graph Neural Networks
  • Advanced Multi-Objective Optimization Algorithms
  • Power System Optimization and Stability
  • Reinforcement Learning in Robotics

Marc Schoenauer has published papers in a variety of notable venues, with frequent publications in:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Artificial Life
  • Electric Power Systems Research
  • Computer Methods in Applied Mechanics and Engineering

Recent papers include:

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (2020) - Artificial Life
  • Neural networks for power flow: Graph neural solver (2020) - Electric Power Systems Research
  • LEAP nets for system identification and application to power systems (2020) - Neurocomputing
  • CD-ROM: Complemented Deep - Reduced order model (2023) - Computer Methods in Applied Mechanics and Engineering
  • An implicit GNN solver for Poisson-like problems (2024) - Computers & Mathematics with Applications

They have collaborated frequently with several researchers, including:

  • Alessandro Leite
  • Mouadh Yagoubi
  • Mathurin Videau
  • Olivier Teytaud
  • Guillaume Charpiat

In addition to articles, Marc Schoenauer has contributed to book publications, notably:

  • Artificial Evolution (2020) published by Springer Science+Business Media

Best Publications

  • Evolutionary algorithms for constrained parameter optimization problems

    Zbigniew Michalewicz;Marc Schoenauer

  • Parallel Problem Solving from Nature — PPSN V

    Agoston E. Eiben;Thomas Bäck;Marc Schoenauer;Hans-Paul Schwefel

  • Parallel Problem Solving from Nature PPSN VI

    Marc Schoenauer;Kalyanmoy Deb;Günther Rudolph;Xin Yao

  • Parameter Control in Evolutionary Algorithms

    A. E. Eiben;Zbigniew Michalewicz;Marc Schoenauer;James E. Smith

  • Evolutionary algorithms for constrained engineering problems

    Zbigniew Michalewicz;Dipankar Dasgupta;Rodolphe G. Le Riche;Marc Schoenauer

  • The grand challenge of computer Go: Monte Carlo tree search and extensions

    Sylvain Gelly;Levente Kocsis;Marc Schoenauer;Michèle Sebag

  • Evolving Objects: A General Purpose Evolutionary Computation Library

    Maarten Keijzer;Juan J. Merelo Guervós;Gustavo Romero;Marc Schoenauer

  • ASCHEA: new results using adaptive segregational constraint handling

    S. Ben Hamida;M. Schoenauer

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

  • Evolutionary Computing

    Aguston E. Eiben;Marc Schoenauer

  • Evolving objects: A general purpose evolutionary computation library

    M. Keijzer;J. J. Merelo;G. Romero;Marc Schoenauer

  • Rigorous hitting times for binary mutations

    Josselin Garnier;Leila Kallel;Marc Schoenauer

  • Evolutionary Computation at the Edge of Feasibility

    Marc Schoenauer;Zbigniew Michalewicz

  • Adaptive operator selection with dynamic multi-armed bandits

    Luis DaCosta;Alvaro Fialho;Marc Schoenauer;Michèle Sebag

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

  • A Framework for Distributed Evolutionary Algorithms

    Maribel García Arenas;Pierre Collet;A. E. Eiben;Márk Jelasity

  • Analyzing bandit-based adaptive operator selection mechanisms

    Álvaro Fialho;Luis Da Costa;Marc Schoenauer;Michèle Sebag

  • Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems

    Nikolaus Hansen;Raymond Ros;Nikolas Mauny;Marc Schoenauer

  • Synthesis of optical multilayer systems using genetic algorithms

    S. Martin;J. Rivory;M. Schoenauer

  • APRIL: active preference learning-based reinforcement learning

    Riad Akrour;Marc Schoenauer;Michèle Sebag

  • Evolutionary computing

    Unknown

Frequent Co-Authors

Michèle Sebag
Michèle Sebag University of Paris-Saclay
Pierre Collet
Pierre Collet University of Strasbourg
Anne Auger
Anne Auger École Polytechnique
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
A. E. Eiben
A. E. Eiben Vrije Universiteit Amsterdam
Nikolaus Hansen
Nikolaus Hansen École Polytechnique
Olivier Teytaud
Olivier Teytaud Facebook (United States)
Sylvain Gelly
Sylvain Gelly Google (United States)
Zbigniew Michalewicz
Zbigniew Michalewicz University of Adelaide
Marco Tomassini
Marco Tomassini University of Lausanne

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education in Computer Science opens up a variety of options to fit different goals and timelines. If you want an advanced credential without high costs, consider the cheapest doctorate degree online programs. These can provide exceptional value for professionals seeking to reach top career positions.

For educators or those wanting to accelerate their career switch, fastest online edd programs offer the ability to earn a doctorate in education at a quicker pace. This can help you gain specialized knowledge and credentials efficiently.

If you're starting your education journey or want a rapid path into technology fields, an accelerated associates degree online can jumpstart your career in as little as six months. These fast-track programs are ideal for those eager to enter the workforce quickly.

Additionally, a strong foundation in business and technology can be obtained through an online business degree with financial aid. Financial support makes these programs accessible, helping you combine computer science with essential business skills.

Best Scientists Citing Marc Schoenauer

Trending Scientists

Recently Published Articles