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D-Index & Metrics

Neuroscience

D-Index
110
Citations
71810
World Ranking
536
National Ranking
308

Daniel M. Wolpert 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 Daniel M. Wolpert 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: 297 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Daniel M. Wolpert 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 Daniel M. Wolpert 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: 110 D-Index — 94th percentile

94% 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

  • 2012 - Fellow of the Royal Society, United Kingdom
  • 2010 - Golden Brain Award, Minerva Foundation

Overview

Daniel M. Wolpert is affiliated with Columbia University in the United States. Their work spans multiple disciplines within neuroscience and psychology, focusing extensively on motor control and adaptation as well as neural and behavioral psychology studies.

Their research covers a variety of topics, including:

  • Motor Control and Adaptation
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Muscle activation and electromyography studies
  • Action Observation and Synchronization
  • Visual perception and processing mechanisms
  • Children's Physical and Motor Development

Daniel M. Wolpert has contributed significantly to the fields of neuroscience with 66 publications and psychology with 23 publications. Their subfields of study indicate a strong emphasis on cognitive neuroscience, complemented by work in developmental and educational psychology, biomedical engineering, social psychology, and control and systems engineering.

The following recent papers illustrate the diversity of their research interests and collaborations:

  • "Contextual inference in learning and memory," 2022, Trends in Cognitive Sciences
  • "The Computational and Neural Bases of Context-Dependent Learning," 2023, Annual Review of Neuroscience
  • "Multiple decisions about one object involve parallel sensory acquisition but time-multiplexed evidence incorporation," 2021, eLife
  • "Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control," 2020, Neural Computation
  • "Contextual inference underlies the learning of sensorimotor repertoires," 2020, bioRxiv (Cold Spring Harbor Laboratory)

Their frequent co-authors include:

  • J. Randall Flanagan
  • Michael N. Shadlen
  • Ariel Zylberberg
  • James N. Ingram
  • Máté Lengyel

The majority of their publications appear in prominent venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Journal of Neurophysiology
  • PLoS Computational Biology
  • PLoS ONE

Awards received by Daniel M. Wolpert include:

  • Fellow of the Royal Society, United Kingdom, 2012
  • Golden Brain Award, Minerva Foundation, 2010

Best Publications

  • An Internal Model for Sensorimotor Integration

    Daniel M. Wolpert;Zoubin Ghahramani;Michael I. Jordan

  • Noise in the nervous system.

    A. Aldo Faisal;Luc P. J. Selen;Daniel M. Wolpert

  • Signal-dependent noise determines motor planning

    Christopher M. Harris;Daniel M. Wolpert

  • Internal models in the cerebellum

    Daniel M Wolpert;R.Chris Miall;Mitsuo Kawato

  • Forward models for physiological motor control

    R. C. Miall;D. M. Wolpert

  • Multiple paired forward and inverse models for motor control

    D. M. Wolpert;M. Kawato

  • Computational principles of movement neuroscience

    Daniel M. Wolpert;Zoubin Ghahramani

  • Bayesian integration in sensorimotor learning

    Konrad P. Körding;Daniel M. Wolpert

  • Central cancellation of self-produced tickle sensation.

    Sarah-J. Blakemore;Daniel M. Wolpert;Chris D. Frith

  • Principles of sensorimotor learning.

    Daniel M. Wolpert;Jörn Diedrichsen;J. Randall Flanagan

  • Abnormalities in the awareness and control of action.

    Christopher D. Frith;Sarah-Jayne Blakemore;Daniel M. Wolpert

  • A unifying computational framework for motor control and social interaction

    Daniel M. Wolpert;Kenji Doya;Mitsuo Kawato

  • Is the cerebellum a smith predictor

    R. C. Miall;D. J. Weir;D. M. Wolpert;J. F. Stein

  • Why can't you tickle yourself?

    Sarah-Jayne Blakemore;Daniel Wolpert;Chris Frith

  • Motor prediction

    Unknown

  • Abnormalities in the awareness of action

    Sarah Jayne Blakemore;Daniel M. Wolpert;Christopher D. Frith

  • Computational approaches to motor control.

    Daniel M. Wolpert

  • Bayesian decision theory in sensorimotor control.

    Konrad P. Körding;Daniel M. Wolpert

  • Spatio-Temporal Prediction Modulates the Perception of Self-Produced Stimuli

    Sarah-J. Blakemore;Chris D. Frith;Daniel M. Wolpert

  • Perspectives and problems in motor learning

    Daniel M. Wolpert;Zoubin Ghahramani;J. Randall Flanagan

  • Explaining the symptoms of schizophrenia: abnormalities in the awareness of action.

    Chris D Frith;Sarah-Jayne Blakemore;Daniel M Wolpert

Frequent Co-Authors

J. Randall Flanagan
J. Randall Flanagan Queen's University
Chris D. Frith
Chris D. Frith University College London
Michael N. Shadlen
Michael N. Shadlen Columbia University
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Paul M. Bays
Paul M. Bays University of Cambridge
Mitsuo Kawato
Mitsuo Kawato Advanced Telecommunications Research Institute International
Konrad P. Kording
Konrad P. Kording University of Pennsylvania
Jason P. Gallivan
Jason P. Gallivan Queen's University
James B. Rowe
James B. Rowe University of Cambridge
Patrick Haggard
Patrick Haggard University College London

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