World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
27329
World Ranking
3940
National Ranking
1872

Olivier Bousquet 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 Olivier Bousquet 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: 110 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Olivier Bousquet 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 Olivier Bousquet 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Olivier Bousquet is affiliated with Google (United States) and has contributed extensively to research intersecting computer science and environmental science. Their work spans multiple fields including artificial intelligence, atmospheric science, and global and planetary change. The primary areas of study encompass tropical and extratropical cyclones research, ocean waves and remote sensing, machine learning and algorithms, as well as marine conservation topics such as turtle biology.

The scientist has published in a variety of academic venues, with a notable number of papers appearing in arXiv (Cornell University). Other frequent publication venues include Atmosphere, Frontiers in Marine Science, Acta Neurochirurgica, and Endangered Species Research.

The main fields of study highlighted in their body of work are:

  • Computer Science
  • Environmental Science
  • Earth and Planetary Sciences

Subfields where their research is focused include:

  • Artificial Intelligence
  • Atmospheric Science
  • Global and Planetary Change
  • Oceanography
  • Nature and Landscape Conservation

Specific research topics addressed throughout their publications cover:

  • Tropical and Extratropical Cyclones Research
  • Ocean Waves and Remote Sensing
  • Machine Learning and Algorithms
  • Turtle Biology and Conservation
  • Climate variability and models
  • Ionosphere and magnetosphere dynamics
  • Machine Learning and Data Classification

Olivier Bousquet often collaborates with a recurrent group of coauthors, including Soline Bielli, Stéphane Ciccione, Shay Moran, Édouard Lees, and Julien Cattiaux.

Selected recent papers include:

  • Least-to-Most Prompting Enables Complex Reasoning in Large Language Models, 2022, arXiv (Cornell University)
  • Google Research Football: A Novel Reinforcement Learning Environment, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Compositional Semantic Parsing with Large Language Models, 2022, arXiv (Cornell University)
  • Predicting Neural Network Accuracy from Weights, 2020, arXiv (Cornell University)
  • Projected Changes in the Southern Indian Ocean Cyclone Activity Assessed from High-Resolution Experiments and CMIP5 Models, 2020, Journal of Climate

Best Publications

  • Learning with Local and Global Consistency

    Dengyong Zhou;Olivier Bousquet;Thomas N. Lal;Jason Weston

  • Choosing Multiple Parameters for Support Vector Machines

    Olivier Chapelle;Vladimir Vapnik;Olivier Bousquet;Sayan Mukherjee

  • Measuring statistical dependence with hilbert-schmidt norms

    Arthur Gretton;Olivier Bousquet;Alex Smola;Bernhard Schölkopf

  • The Tradeoffs of Large Scale Learning

    Olivier Bousquet;Léon Bottou

  • Stability and generalization

    Olivier Bousquet;André Elisseeff

  • Ranking on Data Manifolds

    Dengyong Zhou;Jason Weston;Arthur Gretton;Olivier Bousquet

  • Local Rademacher complexities

    Peter L. Bartlett;Olivier Bousquet;Shahar Mendelson

  • Are GANs Created Equal? A Large-Scale Study

    Mario Lucic;Karol Kurach;Marcin Michalski;Sylvain Gelly

  • Theory of classification : a survey of some recent advances

    Stéphane Boucheron;Olivier Bousquet;Gábor Lugosi

  • Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

    Unknown

  • Introduction to Statistical Learning Theory

    Olivier Bousquet;Stéphane Boucheron;Gábor Lugosi

  • Consistency of spectral clustering

    U von Luxburg;M Belkin;O Bousquet

  • Wasserstein Auto-Encoders

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

  • Kernel Methods for Measuring Independence

    Arthur Gretton;Ralf Herbrich;Alexander Smola;Olivier Bousquet

  • A Bennett concentration inequality and its application to suprema of empirical processes

    Olivier Bousquet

  • Assessing Generative Models via Precision and Recall

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

  • Advanced Lectures on Machine Learning

    O Bousquet;U von Luxburg;G Rätsch

  • Wasserstein Auto-Encoders

    Ilya Tolstikhin;Olivier Bousquet;Sylvain Gelly;Bernhard Schoelkopf

  • Consistency of spectral clustering

    Ulrike von Luxburg;Mikhail Belkin;Olivier Bousquet

  • Google Research Football: A Novel Reinforcement Learning Environment

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

  • Distance--Based Classification with Lipschitz Functions

    Ulrike von Luxburg;Olivier Bousquet

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

    Xiaohua Zhai;Joan Puigcerver;Alexander Kolesnikov;Pierre Ruyssen

  • Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

    Daniel Keysers;Nathanael Schärli;Nathan Scales;Hylke Buisman

Frequent Co-Authors

Sylvain Gelly
Sylvain Gelly Google (United States)
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Mario Lucic
Mario Lucic Google (United States)
Ulrike von Luxburg
Ulrike von Luxburg University of Tübingen
Matthias Hein
Matthias Hein University of Tübingen
Gunnar Rätsch
Gunnar Rätsch ETH Zurich
Jason Weston
Jason Weston Facebook (United States)
Daniel Keysers
Daniel Keysers Google (United States)
Arthur Gretton
Arthur Gretton University College London
Gábor Lugosi
Gábor Lugosi Pompeu Fabra University

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