World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
33046
World Ranking
6968
National Ranking
3047

Sylvain Gelly 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 Sylvain Gelly 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: 114 publications — 13th percentile

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

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

Sylvain Gelly 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 Sylvain Gelly 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Sylvain Gelly is affiliated with Google in the United States and has published extensively in the field of computer science. Their research contributions span various subfields, with a focus on artificial intelligence, computer vision and pattern recognition, and interdisciplinary areas such as economics and radiology.

The research topics explored by Sylvain Gelly include:

  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Machine Learning and Data Classification
  • Digital Media Forensic Detection
  • Reinforcement Learning in Robotics

Frequent coauthors in their collaborative work include:

  • Olivier Bachem
  • Neil Houlsby
  • Mario Lučić
  • Xiaohua Zhai
  • Francesco Locatello

Their publication record features several prominent venues, notably:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Lecture notes in computer science
  • Neural Networks

Key recent papers include:

  • "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale," 2020, arXiv (Cornell University)
  • "Big Transfer (BiT): General Visual Representation Learning," 2020, Lecture notes in computer science
  • "What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study," 2020, arXiv (Cornell University)
  • "Google Research Football: A Novel Reinforcement Learning Environment," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Predicting Neural Network Accuracy from Weights," 2020, arXiv (Cornell University)

Best Publications

  • An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

    Alexey Dosovitskiy;Lucas Beyer;Alexander Kolesnikov;Dirk Weissenborn

  • Parameter-Efficient Transfer Learning for NLP

    Neil Houlsby;Andrei Giurgiu;Stanisław Kamil Jastrzębski;Bruna Halila Morrone

  • Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

    Francesco Locatello;Stefan Bauer;Mario Lučić;Gunnar Rätsch

  • Big Transfer (BiT): General Visual Representation Learning

    Alexander Kolesnikov;Lucas Beyer;Xiaohua Zhai;Joan Puigcerver

  • Are GANs Created Equal? A Large-Scale Study

    Mario Lucic;Karol Kurach;Marcin Michalski;Sylvain Gelly

  • Combining online and offline knowledge in UCT

    Sylvain Gelly;David Silver

  • Wasserstein Auto-Encoders

    Ilya O. Tolstikhin;Olivier Bousquet;Sylvain Gelly;Bernhard Schölkopf

  • Modification of UCT with Patterns in Monte-Carlo Go

    Sylvain Gelly;Yizao Wang;Rémi Munos;Olivier Teytaud

  • Monte-Carlo tree search and rapid action value estimation in computer Go

    Sylvain Gelly;David Silver

  • Assessing Generative Models via Precision and Recall

    Mehdi S. M. Sajjadi;Olivier Bachem;Mario Lucic;Olivier Bousquet

  • On Mutual Information Maximization for Representation Learning

    Michael Tschannen;Josip Djolonga;Paul K. Rubenstein;Sylvain Gelly

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

    Sylvain Gelly;Levente Kocsis;Marc Schoenauer;Michèle Sebag

  • Wasserstein Auto-Encoders

    Ilya Tolstikhin;Olivier Bousquet;Sylvain Gelly;Bernhard Schoelkopf

  • Exploration exploitation in Go: UCT for Monte-Carlo Go

    Sylvain Gelly;Yizao Wang

  • Towards Accurate Generative Models of Video: A New Metric & Challenges

    Thomas Unterthiner;Sjoerd van Steenkiste;Karol Kurach;Raphaël Marinier

  • Google Research Football: A Novel Reinforcement Learning Environment

    Karol Kurach;Anton Raichuk;Piotr Michal Stanczyk;Michał Zając

  • A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

    Xiaohua Zhai;Joan Puigcerver;Alexander Kolesnikov;Pierre Ruyssen

  • Episodic Curiosity through Reachability

    Nikolay Savinov;Anton Raichuk;Raphaël Marinier;Damien Vincent

  • Modifications of UCT and sequence-like simulations for Monte-Carlo Go

    Yizao Wang;S. Gelly

  • AdaGAN: Boosting Generative Models

    Ilya O. Tolstikhin;Sylvain Gelly;Olivier Bousquet;Carl-Johann Simon-Gabriel

  • FVD: A new Metric for Video Generation

    Thomas Unterthiner;Sjoerd van Steenkiste;Karol Kurach;Raphaël Marinier

Frequent Co-Authors

Olivier Teytaud
Olivier Teytaud Facebook (United States)
Mario Lucic
Mario Lucic Google (United States)
Olivier Bousquet
Olivier Bousquet Google (United States)
Xiaohua Zhai
Xiaohua Zhai Google (United States)
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Gunnar Rätsch
Gunnar Rätsch ETH Zurich
Marc Schoenauer
Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA
Daniel Keysers
Daniel Keysers Google (United States)
Michèle Sebag
Michèle Sebag University of Paris-Saclay

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