World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
87
Citations
32774
World Ranking
1245
National Ranking
38

Michael X Cohen 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 Michael X Cohen 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: 206 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Michael X Cohen 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 Michael X Cohen 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

Michael X Cohen is affiliated with Radboud University in the Netherlands. Their research primarily falls within the field of Neuroscience, with a significant focus on Cognitive Neuroscience. Additional subfields of study include Cellular and Molecular Neuroscience, Signal Processing, Neurology, and Biomedical Engineering.

The main topics covered by Cohen's work include:

  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neuroscience and Neuropharmacology Research
  • Neural and Behavioral Psychology Studies
  • Blind Source Separation Techniques
  • Memory and Neural Mechanisms

Cohen has contributed to several frequent publication venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Journal of Neuroscience
  • Journal of Neuroscience Methods
  • Cerebral Cortex

Recent notable papers by Cohen include:

  • A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology, 2021, NeuroImage
  • A data-driven method to identify frequency boundaries in multichannel electrophysiology data, 2020, Journal of Neuroscience Methods

Other relevant papers Cohen has been associated with, although with different first authors, are:

  • Recommendations and publication guidelines for studies using frequency domain and time-frequency domain analyses of neural time series, 2022, Psychophysiology
  • Multiple Midfrontal Thetas Revealed by Source Separation of Simultaneous MEG and EEG, 2020, Journal of Neuroscience
  • Cortical responses to whole-body balance perturbations index perturbation magnitude and predict reactive stepping behavior, 2020, European Journal of Neuroscience

Their frequent coauthors include Arthur S. C. França, Mitchel Stokkermans, Bernhard Englitz, Marrit B. Zuure, and Teodoro Solis-Escalante. Collaboration counts vary from four to seven joint works with these individuals.

Best Publications

  • Organizational Routines Are Stored as Procedural Memory: Evidence from a Laboratory Study

    Michael D. Cohen;Paul Bacdayan

  • Analyzing Neural Time Series Data: Theory and Practice

    Mike X Cohen

  • Routines and Other Recurring Action Patterns of Organizations: Contemporary Research Issues

    Michael D. Cohen;Roger Burkhart;Giovanni Dosi;Massimo Egidi

  • Deep brain stimulation to reward circuitry alleviates anhedonia in refractory major depression.

    Thomas E. Schlaepfer;Thomas E. Schlaepfer;Michael X. Cohen;Michael X. Cohen;Caroline Frick;Markus Mathaus Kosel

  • Oxytocin Enhances Amygdala-Dependent, Socially Reinforced Learning and Emotional Empathy in Humans

    René Hurlemann;Alexandra Patin;Oezguer A. Onur;Michael X. Cohen

  • Nucleus accumbens deep brain stimulation decreases ratings of depression and anxiety in treatment-resistant depression.

    Bettina H. Bewernick;René Hurlemann;Andreas Matusch;Sarah Kayser

  • Dissociable correlates of recollection and familiarity within the medial temporal lobes.

    Charan Ranganath;Andrew P. Yonelinas;Michael X Cohen;Christine J. Dy

  • Entrepreneurial self-efficacy: A systematic review of the literature on its theoretical foundations, measurement, antecedents, and outcomes, and an agenda for future research

    Alexander Newman;Martin Obschonka;Susan Schwarz;Michael Cohen

  • Prelude to and resolution of an error: EEG phase synchrony reveals cognitive control dynamics during action monitoring

    James F. Cavanagh;Michael X Cohen;Michael X Cohen;John J. B. Allen

  • Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold

    James F Cavanagh;Thomas V Wiecki;Michael X Cohen;Michael X Cohen;Christina M Figueroa

  • Where Does EEG Come From and What Does It Mean

    Michael X Cohen

  • Reward expectation modulates feedback-related negativity and EEG spectra

    Michael X. Cohen;Christian Erich Elger;Charan Ranganath

  • Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior.

    Michael X Cohen;Tobias H. Donner;Tobias H. Donner

  • Inferior Temporal, Prefrontal, and Hippocampal Contributions to Visual Working Memory Maintenance and Associative Memory Retrieval

    Charan Ranganath;Michael X. Cohen;Cathrine Dam;Mark D'Esposito

  • Brain connectivity and high functioning autism: a promising path of research that needs refined models, methodological convergence, and stronger behavioral links.

    Marlies E. Vissers;Michael X Cohen;Michael X Cohen;Hilde M. Geurts

  • A better way to define and describe Morlet wavelets for time-frequency analysis

    Michael X Cohen

  • A neural microcircuit for cognitive conflict detection and signaling

    Michael X Cohen

  • Reinforcement Learning Signals Predict Future Decisions

    Michael X Cohen;Charan Ranganath

  • Single-trial regression elucidates the role of prefrontal theta oscillations in response conflict

    Michael X Cohen;James F Cavanagh

  • Corticostriatal Connectivity Underlies Individual Differences in the Balance between Habitual and Goal-Directed Action Control

    Sanne de Wit;Poppy Watson;Helga A Harsay;Michael X Cohen

  • Working Memory Maintenance Contributes to Long-term Memory Formation: Neural and Behavioral Evidence

    Charan Ranganath;Michael X. Cohen;Craig J. Brozinsky

Frequent Co-Authors

K. Richard Ridderinkhof
K. Richard Ridderinkhof University of Amsterdam
Christian E. Elger
Christian E. Elger University Hospital Bonn
Robert Axelrod
Robert Axelrod University of Michigan–Ann Arbor
Charan Ranganath
Charan Ranganath University of California, Davis
Thomas E. Schlaepfer
Thomas E. Schlaepfer University of Freiburg
Nikolai Axmacher
Nikolai Axmacher Ruhr University Bochum
James F. Cavanagh
James F. Cavanagh University of New Mexico
Rick L. Riolo
Rick L. Riolo University of Michigan–Ann Arbor
Simon van Gaal
Simon van Gaal University of Amsterdam
Heleen A. Slagter
Heleen A. Slagter Vrije Universiteit Amsterdam

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