World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
87
Citations
36252
World Ranking
1236
National Ranking
632

Reza Shadmehr 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 Reza Shadmehr 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: 234 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Reza Shadmehr 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 Reza Shadmehr 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: 87 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Reza Shadmehr is affiliated with Johns Hopkins University in the United States and specializes in the field of neuroscience. Their research primarily explores topics involving neural dynamics and brain function, motor control and adaptation, and vestibular and auditory disorders. Additional areas of their work include neural and behavioral psychology studies, muscle activation and electromyography studies, action observation and synchronization, as well as EEG and brain-computer interfaces.

Among the recent publications by Shadmehr are the following:

  • An implicit memory of errors limits human sensorimotor adaptation, 2021, Nature Human Behaviour
  • Synchronous spiking of cerebellar Purkinje cells during control of movements, 2022, Proceedings of the National Academy of Sciences
  • Postural control of arm and fingers through integration of movement commands, 2020, eLife
  • P-sort: an open-source software for cerebellar neurophysiology, 2021, Journal of Neurophysiology
  • The Origins of Anterograde Interference in Visuomotor Adaptation, 2020, Cerebral Cortex

Shadmehr's collaborations involve frequent co-authorship with several researchers, including Mohammad Amin Fakharian, Paul Hage, Ehsan Sedaghat-Nejad, Jay S. Pi, and Scott T. Albert.

Their publications are commonly found in venues such as bioRxiv (Cold Spring Harbor Laboratory), Journal of Neurophysiology, Proceedings of the National Academy of Sciences, eLife, and Current Biology.

In addition to articles, Shadmehr has contributed to book publications, including a work titled Vigor, published by The MIT Press in 2020.

The scientist's research spans several subfields within neuroscience, with a focus on cognitive neuroscience, neurology, social psychology, biomedical engineering, and cellular and molecular neuroscience.

Best Publications

  • Adaptive representation of dynamics during learning of a motor task

    Reza Shadmehr;Ferdinando A. Mussa-Ivaldi

  • Error Correction, Sensory Prediction, and Adaptation in Motor Control

    Reza Shadmehr;Maurice A. Smith;John W. Krakauer

  • Neural Correlates of Motor Memory Consolidation

    Reza Shadmehr;Henry H. Holcomb

  • Consolidation in human motor memory

    Thomas Brashers-Krug;Reza Shadmehr;Emilio Bizzi

  • A computational neuroanatomy for motor control

    Reza Shadmehr;John W. Krakauer

  • Interacting adaptive processes with different timescales underlie short-term motor learning.

    Maurice A Smith;Ali Ghazizadeh;Reza Shadmehr

  • Learning of action through adaptive combination of motor primitives

    Kurt A. Thoroughman;Reza Shadmehr

  • Sensory Prediction Errors Drive Cerebellum-Dependent Adaptation of Reaching

    Ya-weng Tseng;Joern Diedrichsen;John W Krakauer;Reza Shadmehr

  • Functional Stages in the Formation of Human Long-Term Motor Memory

    Reza Shadmehr;Thomas Brashers-Krug

  • The Computational Neurobiology of Reaching and Pointing: A Foundation for Motor Learning

    Reza Shadmehr;Steven P. Wise

  • Neural Correlates of Reach Errors

    Jörn Diedrichsen;Yasmin Hashambhoy;Tushar Rane;Reza Shadmehr

  • The coordination of movement: optimal feedback control and beyond

    Jörn Diedrichsen;Jörn Diedrichsen;Reza Shadmehr;Richard B. Ivry

  • Consolidation of motor memory.

    John W. Krakauer;Reza Shadmehr

  • Electromyographic correlates of learning an internal model of reaching movements.

    Kurt A. Thoroughman;Reza Shadmehr

  • Intact ability to learn internal models of arm dynamics in Huntington's disease but not cerebellar degeneration.

    Maurice A. Smith;Reza Shadmehr

  • Learning from sensory and reward prediction errors during motor adaptation.

    Jun Izawa;Reza Shadmehr

  • Quantifying Generalization from Trial-by-Trial Behavior of Adaptive Systems that Learn with Basis Functions: Theory and Experiments in Human Motor Control

    Opher Donchin;Joseph T. Francis;Reza Shadmehr

  • The dynamics of memory as a consequence of optimal adaptation to a changing body

    Konrad Paul Kording;Joshua B. Tenenbaum;Reza Shadmehr

  • Computational nature of human adaptive control during learning of reaching movements in force fields.

    Nikhil Bhushan;Reza Shadmehr

  • Augmented Feedback Presented in a Virtual Environment Accelerates Learning of a Difficult Motor Task.

    Emanuel Todorov;Reza Shadmehr;Emilio Bizzi

Frequent Co-Authors

Ferdinando A. Mussa-Ivaldi
Ferdinando A. Mussa-Ivaldi Northwestern University
John W. Krakauer
John W. Krakauer Johns Hopkins University
Opher Donchin
Opher Donchin Ben-Gurion University of the Negev
Jörn Diedrichsen
Jörn Diedrichsen University of Western Ontario
David S. Zee
David S. Zee Johns Hopkins University
Amy J. Bastian
Amy J. Bastian Kennedy Krieger Institute
Stewart H. Mostofsky
Stewart H. Mostofsky Johns Hopkins University School of Medicine
Mark M. Churchland
Mark M. Churchland Columbia University
Philippe Lefèvre
Philippe Lefèvre Université Catholique de Louvain

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