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Alexandre Pouget

D-Index & Metrics

Neuroscience

D-Index
69
Citations
27506
World Ranking
2580
National Ranking
60

Alexandre Pouget publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Alexandre Pouget sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 145 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Alexandre Pouget D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Alexandre Pouget sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 69 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Research.com Recognitions

  • 2000 - Fellow of Alfred P. Sloan Foundation

Overview

Alexandre Pouget is affiliated with the University of Geneva in Switzerland and specializes in neuroscience, with a significant focus on cognitive neuroscience. Their research contributions span multiple subfields including cellular and molecular neuroscience, artificial intelligence, sensory systems, and social psychology.

Their main research topics encompass a variety of neural and behavioral studies, notably:

  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Visual perception and processing mechanisms
  • Memory and Neural Mechanisms
  • Neural and Behavioral Psychology Studies
  • Olfactory and Sensory Function Studies
  • Neuroscience and Neuropharmacology Research

Significant recent papers authored or coauthored by Pouget include:

  • "Catalyzing next-generation Artificial Intelligence through NeuroAI", 2023, published in Nature Communications
  • "Mice alternate between discrete strategies during perceptual decision-making", 2022, published in Nature Neuroscience
  • "Synaptic plasticity as Bayesian inference", 2021, published in Nature Neuroscience
  • "A Brain-Wide Map of Neural Activity during Complex Behaviour", 2023, published in bioRxiv (Cold Spring Harbor Laboratory)
  • "International Brain Initiative: An Innovative Framework for Coordinated Global Brain Research Efforts", 2020, published in Neuron

Frequent publication venues for Pouget's work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neuron
  • Nature Neuroscience
  • Nature
  • Nature Communications

Among frequent collaborators are:

  • Anne K. Churchland
  • Anthony M. Zador
  • Anne E. Urai
  • Charles Findling
  • Zachary F. Mainen

Throughout their career, Pouget has been recognized with the award of Fellow of the Alfred P. Sloan Foundation in 2000.

Best Publications

  • The Bayesian brain: the role of uncertainty in neural coding and computation

    David C. Knill;Alexandre Pouget

  • Neural correlations, population coding and computation

    Bruno B. Averbeck;Peter E. Latham;Alexandre Pouget

  • Bayesian inference with probabilistic population codes.

    Wei Ji Ma;Jeffrey M Beck;Peter E Latham;Alexandre Pouget

  • Information processing with population codes

    Alexandre Pouget;Peter Dayan;Richard Zemel

  • Bayesian brain : probabilistic approaches to neural coding

    賢治 銅谷;信 石井;Alexandre Pouget;Rajesh P. N. Rao

  • Probabilistic Population Codes for Bayesian Decision Making

    Jeffrey M. Beck;Wei Ji Ma;Wei Ji Ma;Roozbeh Kiani;Timothy Hanks

  • Probabilistic brains: knowns and unknowns

    Alexandre Pouget;Jeffrey M Beck;Wei Ji Ma;Wei Ji Ma;Peter E Latham

  • Brain Plasticity Through the Life Span: Learning to Learn and Action Video Games

    Daphne Bavelier;C. Shawn Green;Alexandre Pouget;Paul Schrater

  • The cost of accumulating evidence in perceptual decision making.

    Jan Drugowitsch;Rubén Moreno-Bote;Anne K. Churchland;Michael N. Shadlen

  • Information-limiting correlations

    Rubén Moreno-Bote;Jeffrey Beck;Ingmar Kanitscheider;Xaq Pitkow

  • Confidence and certainty: distinct probabilistic quantities for different goals.

    Alexandre Pouget;Jan Drugowitsch;Adam Kepecs

  • INFERENCE AND COMPUTATION WITH POPULATION CODES

    Alexandre Pouget;Peter Dayan;Richard S. Zemel

  • Neural correlates of reliability-based cue weighting during multisensory integration

    Christopher R Fetsch;Alexandre Pouget;Alexandre Pouget;Gregory C DeAngelis;Gregory C DeAngelis;Dora E Angelaki;Dora E Angelaki

  • Reference frames for representing visual and tactile locations in parietal cortex.

    Marie Avillac;Sophie Denève;Etienne Olivier;Alexandre Pouget

  • Spatial transformations in the parietal cortex using basis functions

    Alexandre Pouget;Terrence J. Sejnowski

  • A computational perspective on the neural basis of multisensory spatial representations

    Alexandre Pouget;Sophie Deneve;Jean-René Duhamel

  • Reading population codes: a neural implementation of ideal observers

    Sophie Deneve;Peter E. Latham;Alexandre Pouget

  • Probabilistic interpretation of population codes

    Richard S. Zemel;Peter Dayan;Alexandre Pouget

  • Efficient computation and cue integration with noisy population codes.

    S. Deneve;P. E. Latham;A. Pouget

  • Improved Probabilistic Inference as a General Learning Mechanism with Action Video Games

    C. Shawn Green;Alexandre Pouget;Daphne Bavelier

Frequent Co-Authors

Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Wei Ji Ma
Wei Ji Ma New York University
Sophie Denève
Sophie Denève École Normale Supérieure
Dora E. Angelaki
Dora E. Angelaki New York University
Gregory C. DeAngelis
Gregory C. DeAngelis University of Rochester
Daphne Bavelier
Daphne Bavelier University of Geneva
Peter Dayan
Peter Dayan Max Planck Institute for Biological Cybernetics
Zachary F. Mainen
Zachary F. Mainen Champalimaud Foundation
Anne K. Churchland
Anne K. Churchland University of California, Los Angeles
Richard S. Zemel
Richard S. Zemel University of Toronto

External Links

Google Scholar page

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Best Scientists Citing Alexandre Pouget

Karl J. Friston

Karl J. Friston

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Wei Ji Ma

Wei Ji Ma

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Gregory C. DeAngelis

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Stefano Panzeri

Stefano Panzeri

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Peter Dayan

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Max Planck Institute for Biological Cybernetics

Publications: 52

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Columbia University

Publications: 51

Konrad P. Kording

Konrad P. Kording

University of Pennsylvania

Publications: 46

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Publications: 46

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Publications: 43

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