World's Best Scientists 2026 revealed!
Peter Ford Dominey

Peter Ford Dominey

D-Index & Metrics

Neuroscience

D-Index
45
Citations
6787
World Ranking
6971
National Ranking
311

Engineering and Technology

D-Index
35
Citations
5272
World Ranking
8972
National Ranking
211

Peter Ford Dominey 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 Peter Ford Dominey 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: 168 publications — 51st percentile

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

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

Peter Ford Dominey 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 Peter Ford Dominey 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: 45 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Peter Ford Dominey is a researcher affiliated with Inserm in France, with a focus spanning computer science and neuroscience. Their work integrates concepts from artificial intelligence and cognitive neuroscience, addressing topics related to neural networks, brain function, and language processing.

The main areas of study in Dominey's research include:

  • Computer Science
  • Neuroscience

Their research spans several subfields, including:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Electrical and Electronic Engineering
  • Developmental and Educational Psychology
  • Cultural Studies

Key topics addressed in Dominey's publications comprise:

  • Neural Networks and Reservoir Computing
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Child and Animal Learning Development
  • Language and cultural evolution
  • Topic Modeling
  • Neurobiology of Language and Bilingualism

Dominey's recent papers illustrate a focus on cognitive processes, neural mechanisms, and language comprehension. Important works include:

  • "Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration," 2020, arXiv (Cornell University)
  • "Narrative event segmentation in the cortical reservoir," 2021, PLoS Computational Biology
  • "A Model of Online Temporal-Spatial Integration for Immediacy and Overrule in Discourse Comprehension," 2020, Neurobiology of Language
  • "Real-time sensory-motor integration of hippocampal place cell replay and prefrontal sequence learning in simulated and physical rat robots for novel path optimization," 2020, Biological Cybernetics
  • "Common ERP responses to narrative incoherence in sentence and picture pair comprehension," 2021, Brain and Cognition

The venues where Dominey most frequently publishes include:

  • arXiv (Cornell University)
  • Biological Cybernetics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neurobiology of Language
  • PLoS Computational Biology

Collaborations are notable in Dominey's career, with frequent coauthors including Jocelyne Ventre-Dominey, Grgur Kovač, Rémy Portelas, Nicolas Lair, and Pierre-Yves Oudeyer. These collaborations contribute to interdisciplinary research across computational and cognitive neuroscience domains.

Best Publications

  • Neurological basis of language and sequential cognition: evidence from simulation, aphasia, and ERP studies.

    Peter F. Dominey;Michel Hoen;Jean-Marc Blanc;Taı̈ssia Lelekov-Boissard

  • Motor imagery of a lateralized sequential task is asymmetrically slowed in hemi-Parkinson's patients

    Peter Dominey;Jean Decety;Emmanuel Broussolle;Guy Chazot

  • A model of corticostriatal plasticity for learning oculomotor associations and sequences

    Peter Dominey;Michael Arbib;Jean-Paul Joseph

  • A Cortico-Subcortical Model for Generation of Spatially Accurate Sequential Saccades

    Peter F. Dominey;Michael A. Arbib

  • Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning

    Peter F. Dominey

  • Real-time parallel processing of grammatical structure in the fronto-striatal system: a recurrent network simulation study using reservoir computing.

    Xavier Hinaut;Peter Ford Dominey;Peter Ford Dominey

  • Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex.

    Pierre Enel;Pierre Enel;Emmanuel Procyk;René Quilodran;René Quilodran;Peter Ford Dominey

  • I Reach Faster When I See You Look: Gaze Effects in Human–Human and Human–Robot Face-to-Face Cooperation

    Jean-David Boucher;Ugo Pattacini;Amelie Lelong;Gerrard Bailly

  • Neural network processing of natural language: I. Sensitivity to serial, temporal and abstract structure of language in the infant

    Peter Ford Dominey;Franck Ramus

  • Indeterminacy in language acquisition: the role of child directed speech and joint attention

    Peter F Dominey;Christelle Dodane

  • Motor imagery in normal subjects and in asymmetrical Parkinson’s disease A PET study

    S Thobois;P F Dominey;J Decety;P P Pollak

  • Dissociable Processes for Learning the Surface Structure and Abstract Structure of Sensorimotor Sequences

    Peter F. Dominey;Taïssia Lelekov;Jocelyne Ventre-dominey;Marc Jeannerod

  • ERP analysis of cognitive sequencing: a left anterior negativity related to structural transformation processing.

    Michel Hoen;Peter Ford Dominey

  • A Neurolinguistic Model of Grammatical Construction Processing

    Peter Ford Dominey;Michel Hoen;Toshio Inui

  • A model of the cerebellum in adaptive control of saccadic gain

    Nicolas Schweighofer;Michael A. Arbib;Peter F. Dominey

  • Conceptual grounding in simulation studies of language acquisition

    Peter F. Dominey

  • Cortico-striatal function in sentence comprehension: insights from neurophysiology and modeling.

    Peter F. Dominey;Toshio Inui

  • Neural network processing of natural language: II. Towards a unified model of corticostriatal function in learning sentence comprehension and non-linguistic sequencing.

    Peter Ford Dominey;Toshio Inui;Michel Hoen

  • Learning to talk about events from narrated video in a construction grammar framework

    Peter Ford Dominey;Jean-David Boucher

  • Developmental stages of perception and language acquisition in a perceptually grounded robot

    Peter Ford Dominey;Jean-David Boucher

Frequent Co-Authors

Emmanuel Procyk
Emmanuel Procyk Claude Bernard University Lyon 1
Emmanuel Broussolle
Emmanuel Broussolle Centre national de la recherche scientifique, CNRS
Giorgio Metta
Giorgio Metta Italian Institute of Technology
Michael A. Arbib
Michael A. Arbib University of Southern California
Felix Warneken
Felix Warneken University of Michigan–Ann Arbor
Lorenzo Natale
Lorenzo Natale Italian Institute of Technology
Marc Jeannerod
Marc Jeannerod Centre national de la recherche scientifique, CNRS
Pierre-Yves Oudeyer
Pierre-Yves Oudeyer French Institute for Research in Computer Science and Automation - INRIA
Eiichi Yoshida
Eiichi Yoshida Tokyo University of Science
Chris Melhuish
Chris Melhuish University of the West of England

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