World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
38
Citations
8038
World Ranking
8471
National Ranking
397

Sophie Denève 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 Sophie Denève 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: 89 publications — 11th percentile

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

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

Sophie Denève 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 Sophie Denève 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: 38 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Overview

Sophie Denève is affiliated with the École Normale Supérieure in France. Their research spans neuroscience and computer science, with a significant focus on neural dynamics, brain function, and neural networks applications.

The scientist's work covers various fields and subfields, including:

  • Neuroscience
  • Computer Science

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Cellular and Molecular Neuroscience
  • Computer Vision and Pattern Recognition

The main research topics include:

  • Neural dynamics and brain function
  • Neural Networks and Applications
  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Neural Networks and Reservoir Computing
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging

Denève has contributed to publications in several venues, with frequent appearances in:

  • PLoS Computational Biology
  • Nature Methods
  • Nature Communications
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Nature

Selected recent publications include:

  • "Predictive learning as a network mechanism for extracting low-dimensional latent space representations," 2021, Nature Communications
  • "The supplementary material contains detailed mathematical derivations and proofs of all the main concepts explained in this article," 2020, OPAL (Open@LaTrobe) (La Trobe University)
  • "Efficient and robust coding in heterogeneous recurrent networks," 2021, PLoS Computational Biology
  • "Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools," 2024, Nature Methods
  • "A brain-wide map of neural activity during complex behaviour," 2025, Nature

The scientist has collaborated frequently with several co-authors, including:

  • Anup Khanal
  • Guido T. Meijer
  • Jean-Paul Noel
  • Vincent Bouttier
  • Renaud Jardri

Best Publications

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

    Marie Avillac;Sophie Denève;Etienne Olivier;Alexandre Pouget

  • 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

  • Efficient codes and balanced networks

    Sophie Denève;Christian K Machens

  • Efficient computation and cue integration with noisy population codes.

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

  • Bayesian spiking neurons i: Inference

    Sophie Deneve

  • Evidence that cochlear-implanted deaf patients are better multisensory integrators.

    J. Rouger;S. Lagleyre;B. Fraysse;S. Deneve

  • Statistically efficient estimation using population coding

    Alexandre Pouget;Kechen Zhang;Sophie Deneve;Peter E. Latham

  • Predictive Coding of Dynamical Variables in Balanced Spiking Networks

    Martin Boerlin;Christian K. Machens;Sophie Denève

  • Bayesian multisensory integration and cross-modal spatial links

    Sophie Deneve;Alexandre Pouget

  • Circular inferences in schizophrenia

    Renaud Jardri;Sophie Denève

  • What visual illusions teach us about schizophrenia.

    Charles-Edouard Notredame;Delphine Pins;Sophie Deneve;Renaud Jardri;Renaud Jardri

  • Neural processing as causal inference.

    Timm Lochmann;Sophie Deneve;Sophie Deneve

  • Are Hallucinations Due to an Imbalance Between Excitatory and Inhibitory Influences on the Brain

    Renaud Jardri;Kenneth Hugdahl;Matthew Hughes;Jérôme Brunelin

  • Narrow versus wide turning curves: what's best for a population code?

    Alexandre Pouget;Sophie Deneve;Jean-Christophe Ducom;Peter E. Latham

  • Optimal sensorimotor integration in recurrent cortical networks: a neural implementation of Kalman filters.

    Sophie Denève;Jean-René Duhamel;Alexandre Pouget

  • Experimental evidence for circular inference in schizophrenia.

    Renaud Jardri;Sandrine Duverne;Alexandra S Litvinova;Sophie Denève

  • Online learning with hidden markov models

    Gianluigi Mongillo;Sophie Deneve

  • The Brain as an Efficient and Robust Adaptive Learner.

    Sophie Denève;Alireza Alemi;Ralph Bourdoukan

  • Spike-based population coding and working memory.

    Martin Boerlin;Sophie Denève;Sophie Denève

  • Circular inference: mistaken belief, misplaced trust

    Sophie Denève;Renaud Jardri;Renaud Jardri

Frequent Co-Authors

Renaud Jardri
Renaud Jardri University of Lille
Boris Gutkin
Boris Gutkin École Normale Supérieure
Alexandre Pouget
Alexandre Pouget University of Geneva
Jean-René Duhamel
Jean-René Duhamel Centre national de la recherche scientifique, CNRS
Adrienne L. Fairhall
Adrienne L. Fairhall University of Washington
Philip R. Corlett
Philip R. Corlett Yale University
Osvaldo Simeone
Osvaldo Simeone Northeastern University
Bipin Rajendran
Bipin Rajendran King's College London

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