World's Best Scientists 2026 revealed!
Peter Ford Dominey

Peter Ford Dominey

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 45 6971 6417 311 286 168 6787
Engineering and Technology 35 8972 8639 211 205 151 5272

Peter Ford Dominey publications per year

The chart shows the history of publications by Peter Ford Dominey between 1991 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter Ford Dominey published across 35 years, from 1991 to 2025, averaging 6 papers a year. Output peaked at 13 publications in 2003. 13 of the 210 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1991 to 2025. Vertical axis: number of publications, 0 to 13. Peak 13 publications in 2003. 1991: 1 publication 1992: 1 publication 1993: 1 publication 1994: 0 publications 1995: 5 publications 1996: 4 publications 1997: 8 publications 1998: 6 publications 1999: 0 publications 2000: 10 publications 2001: 3 publications 2002: 5 publications 2003: 13 publications 2004: 6 publications 2005: 12 publications 2006: 10 publications 2007: 6 publications 2008: 2 publications 2009: 7 publications 2010: 10 publications 2011: 7 publications 2012: 6 publications 2013: 13 publications 2014: 6 publications 2015: 7 publications 2016: 7 publications 2017: 7 publications 2018: 3 publications 2019: 9 publications 2020: 8 publications 2021: 6 publications 2022: 5 publications 2023: 3 publications 2024: 7 publications 2025: 6 publications
1991 2025

210 publications in total across all disciplines

View publications per year as a table
Peter Ford Dominey: publications per year, 1991 to 2025
Year Publications
1991 1
1992 1
1993 1
1994 0
1995 5
1996 4
1997 8
1998 6
1999 0
2000 10
2001 3
2002 5
2003 13
2004 6
2005 12
2006 10
2007 6
2008 2
2009 7
2010 10
2011 7
2012 6
2013 13
2014 6
2015 7
2016 7
2017 7
2018 3
2019 9
2020 8
2021 6
2022 5
2023 3
2024 7
2025 6
Total 210
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 168–177 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383 168
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
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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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 44–45 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478 45
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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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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