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Nicolas Schweighofer

D-Index & Metrics

Neuroscience

D-Index
50
Citations
7826
World Ranking
5804
National Ranking
2553

Nicolas Schweighofer 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 Nicolas Schweighofer sits on this spectrum.

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38 publications 887+

This scientist: 139 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Nicolas Schweighofer 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 Nicolas Schweighofer 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: 50 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Nicolas Schweighofer is a researcher affiliated with the University of Southern California in the United States. Their work spans several fields with a primary focus on Medicine and Neuroscience. Within these broad domains, their research particularly concentrates on Cognitive Neuroscience, Rehabilitation, and Biomedical Engineering, alongside topics in Physical Therapy, Sports Therapy, Rehabilitation, and Epidemiology.

The main research topics explored by Schweighofer include:

  • Stroke Rehabilitation and Recovery
  • Motor Control and Adaptation
  • Muscle activation and electromyography studies
  • Balance, Gait, and Falls Prevention
  • Acute Ischemic Stroke Management
  • Cerebral Palsy and Movement Disorders
  • EEG and Brain-Computer Interfaces

Schweighofer's research has appeared regularly in several scientific journals. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of NeuroEngineering and Rehabilitation
  • Journal of Neurophysiology
  • Neurorehabilitation and Neural Repair
  • Frontiers in Aging Neuroscience

Notable recent papers authored or co-authored by Schweighofer demonstrate a focus on brain function, stroke recovery, and motor control. Some of these include:

  • "The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke," 2020, Human Brain Mapping
  • "Increased cognitive load in immersive virtual reality during visuomotor adaptation is associated with decreased long-term retention and context transfer," 2022, Journal of NeuroEngineering and Rehabilitation
  • "Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke," 2023, Neurology
  • "When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance," 2020, Journal of Neurophysiology
  • "Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision," 2021, PLoS Computational Biology

Frequent collaborators in their research include Carolee J. Winstein, Sook-Lei Liew, James M. Finley, Steven C. Cramer, and Michael R. Borich. The collaboration network indicates an emphasis on multidisciplinary approaches within neuroscience and rehabilitation research.

Best Publications

  • Reward improves long-term retention of a motor memory through induction of offline memory gains

    Mitsunari Abe;Heidi Schambra;Eric M. Wassermann;Dave Luckenbaugh

  • Low-serotonin levels increase delayed reward discounting in humans

    Nicolas Schweighofer;Mathieu Bertin;Kazuhiro Shishida;Yasumasa Okamoto

  • Meta-learning in reinforcement learning

    Nicolas Schweighofer;Kenji Doya

  • Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics control

    Nicolas Schweighofer;Michael A. Arbib;Mitsuo Kawato

  • Motor Learning Without Doing: Trial-by-Trial Improvement in Motor Performance During Mental Training

    Rodolphe J Gentili;Rodolphe J Gentili;Rodolphe J Gentili;Cheol E Han;Nicolas Schweighofer;Charalambos Papaxanthis;Charalambos Papaxanthis

  • Dual Adaptation Supports a Parallel Architecture of Motor Memory

    Jeong-Yoon Lee;Nicolas Schweighofer

  • Serotonin Differentially Regulates Short- and Long-Term Prediction of Rewards in the Ventral and Dorsal Striatum

    Saori C. Tanaka;Nicolas Schweighofer;Shuji Asahi;Kazuhiro Shishida

  • Computational neurorehabilitation: modeling plasticity and learning to predict recovery.

    David J. Reinkensmeyer;Etienne Burdet;Maura Casadio;John W. Krakauer

  • Stroke rehabilitation reaches a threshold.

    Cheol E. Han;Michael A. Arbib;Nicolas Schweighofer

  • Role of the cerebellum in reaching movements in humans. II. A neural model of the intermediate cerebellum.

    Nicolas Schweighofer;Jacob Spoelstra;Michael A. Arbib;Mitsuo Kawato

  • Cerebellar aminergic neuromodulation: towards a functional understanding

    Nicolas Schweighofer;Kenji Doya;Shinya Kuroda

  • Electrophysiological Properties of Inferior Olive Neurons: A Compartmental Model

    Nicolas Schweighofer;Kenji Doya;Mitsuo Kawato

  • Chaos may enhance information transmission in the inferior olive

    Nicolas Schweighofer;Kenji Doya;Hidekazu Fukai;Jean Vianney Chiron

  • Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive control.

    N. Schweighofer;K. Doya;F. Lay

  • A functional threshold for long-term use of hand and arm function can be determined: Predictions from a computational model and supporting data from the extremity constraint-induced therapy evaluation (EXCITE) trial

    Nicolas Schweighofer;Cheol E. Han;Steven L. Wolf;Michael A. Arbib

  • Computational motor control in humans and robots.

    Stefan Schaal;Nicolas Schweighofer

  • Exploration of signal transduction pathways in cerebellar long-term depression by kinetic simulation.

    Shinya Kuroda;Nicolas Schweighofer;Mitsuo Kawato

  • The Roles of the Olivocerebellar Pathway in Motor Learning and Motor Control. A consensus paper

    Eric J Lang;Richard Apps;Fredrik Bengtsson;Nadia L Cerminara

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

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

  • Neural Substrates Related to Motor Memory with Multiple Timescales in Sensorimotor Adaptation.

    Sungshin Kim;Kenji Ogawa;Jinchi Lv;Nicolas Schweighofer

  • Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints

    Nicolas Schweighofer;K. Shishida;Cheol E. Han;Yasumasa Okamoto

  • Motor Learning without Doing: Trial-by-Trial Improvement in Motor

    Rodolphe Gentili;Cheol E Han;Nicolas Schweighofer;Charalambos Papaxanthis

Frequent Co-Authors

Carolee J. Winstein
Carolee J. Winstein University of Southern California
Mitsuo Kawato
Mitsuo Kawato Advanced Telecommunications Research Institute International
Kenji Doya
Kenji Doya Okinawa Institute of Science and Technology
Michael A. Arbib
Michael A. Arbib University of Southern California
Bradley J. MacIntosh
Bradley J. MacIntosh Sunnybrook Health Science Centre
Steven A. Kautz
Steven A. Kautz Medical University of South Carolina
Eric J. Lang
Eric J. Lang New York University
Lars T. Westlye
Lars T. Westlye University of Oslo
George F. Wittenberg
George F. Wittenberg University of Pittsburgh
Rebecca Lewthwaite
Rebecca Lewthwaite Rancho Los Amigos National Rehabilitation Center

External Links

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Best Scientists Citing Nicolas Schweighofer

Egidio D'Angelo

Egidio D'Angelo

University of Pavia

Publications: 46

Thierry Pozzo

Thierry Pozzo

Italian Institute of Technology

Publications: 38

Mitsuo Kawato

Mitsuo Kawato

Advanced Telecommunications Research Institute International

Publications: 35

Charalambos Papaxanthis

Charalambos Papaxanthis

Grenoble Alpes University

Publications: 34

Daniel M. Wolpert

Daniel M. Wolpert

Columbia University

Publications: 27

Chris I. De Zeeuw

Chris I. De Zeeuw

Erasmus University Rotterdam

Publications: 25

Reza Shadmehr

Reza Shadmehr

Johns Hopkins University

Publications: 25

David J. Reinkensmeyer

David J. Reinkensmeyer

University of California, Irvine

Publications: 22

Carolee J. Winstein

Carolee J. Winstein

University of Southern California

Publications: 21

Amy J. Bastian

Amy J. Bastian

Kennedy Krieger Institute

Publications: 21

Eduardo Ros

Eduardo Ros

University of Granada

Publications: 20

Leonardo G. Cohen

Leonardo G. Cohen

National Institutes of Health

Publications: 19

Kenji Doya

Kenji Doya

Okinawa Institute of Science and Technology

Publications: 18

Michael A. Arbib

Michael A. Arbib

University of Southern California

Publications: 17

Erik De Schutter

Erik De Schutter

Okinawa Institute of Science and Technology

Publications: 16

Richard B. Ivry

Richard B. Ivry

University of California, Berkeley

Publications: 15

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