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D-Index & Metrics

Neuroscience

D-Index
50
Citations
17081
World Ranking
5635
National Ranking
36

Cyril Pernet 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 Cyril Pernet 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: 163 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Cyril Pernet 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 Cyril Pernet 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

Cyril Pernet is a researcher affiliated with Copenhagen University Hospital in Denmark. Their research primarily spans the fields of Neuroscience and Medicine, with a significant focus on Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging.

Their work covers a range of main topics, including Functional Brain Connectivity Studies, EEG and Brain-Computer Interfaces, Advanced MRI Techniques and Applications, Neural dynamics and brain function, Medical Imaging Techniques and Applications, Advanced Neuroimaging Techniques and Applications, and Neural and Behavioral Psychology Studies.

Frequent co-authors in their publications include Melanie Ganz, Robert Oostenveld, Henk Mutsaerts, Jan Petr, and Arnaud Delorme.

They have published extensively in venues such as bioRxiv (Cold Spring Harbor Laboratory), Aperture Neuro, arXiv (Cornell University), Imaging Neuroscience, and Psychophysiology.

Recent papers by Cyril Pernet include:

  • Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research (2020, Nature Neuroscience)
  • #EEGManyLabs: Investigating the replicability of influential EEG experiments (2021, Cortex)
  • Open and reproducible neuroimaging: From study inception to publication (2022, NeuroImage)
  • The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R (2021, Advances in Methods and Practices in Psychological Science)
  • The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data (2021, Human Brain Mapping)

Best Publications

  • Estimating the reproducibility of psychological science

    Alexander A. Aarts;Joanna E. Anderson;Christopher J. Anderson;Peter R. Attridge;Peter R. Attridge

  • Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox

    Cyril R Pernet;Rand R Wilcox;Guillaume A Rousselet

  • EEG-BIDS, an extension to the brain imaging data structure for electroencephalography.

    Cyril R. Pernet;Stefan Appelhoff;Krzysztof J. Gorgolewski;Guillaume Flandin

  • LIMO EEG: a toolbox for hierarchical linear modeling of electroencephalographic data

    Cyril R. Pernet;Nicolas Chauveau;Carl Gaspar;Guillaume A. Rousselet

  • Cluster-based computational methods for mass univariate analyses of event-related brain potentials/fields: A simulation study.

    Cyril Pernet;Marianne Latinus;Thomas E. Nichols;Guillaume Alexis Rousselet

  • The Human Voice Areas: Spatial Organization and Inter-Individual Variability in Temporal and Extra-Temporal Cortices

    Cyril R. Pernet;Philip McAleer;Marianne Latinus;Krzysztof J. Gorgolewski

  • Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review

    Enrico Pellegrini;Lucia Ballerini;Maria del C. Valdes Hernandez;Francesca M. Chappell

  • Improving standards in brain-behavior correlation analyses.

    Guillaume A. Rousselet;Cyril R. Pernet

  • Misconceptions in the use of the General Linear Model applied to functional MRI: a tutorial for junior neuro-imagers

    Cyril R Pernet

  • Beyond differences in means: robust graphical methods to compare two groups in neuroscience

    Guillaume A. Rousselet;Cyril R. Pernet;Rand R. Wilcox

  • Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research.

    Cyril Pernet;Marta I. Garrido;Alexandre Gramfort;Natasha Maurits

  • Neural dissociation of phonological and visual attention span disorders in developmental dyslexia: FMRI evidence from two case reports.

    C. Peyrin;M. Lallier;J.F. Démonet;C. Pernet

  • Brain classification reveals the right cerebellum as the best biomarker of dyslexia

    Cyril R Pernet;Jean Baptiste Poline;Jean François Demonet;Guillaume A Rousselet

  • When all hypotheses are right: A multifocal account of dyslexia

    Cyril Pernet;Jesper Andersson;Eraldo Paulesu;Jean Francois Demonet

  • Test–retest reliability of structural brain networks from diffusion MRI

    Colin R. Buchanan;Cyril R. Pernet;Krzysztof J. Gorgolewski;Amos J. Storkey

  • Electrophysiological evidence for an early processing of human voices

    Ian Charest;Cyril R Pernet;Guillaume A Rousselet;Ileana Quiñones

  • Age-related slowing of response selection and production in a visual choice reaction time task

    David L Woods;John M. Wyma;E. William Yund;Timothy J. Herron

  • Testing for the dual-route cascade reading model in the brain: an fMRI effective connectivity account of an efficient reading style.

    Jonathan Levy;Cyril Pernet;Sébastien Treserras;Sébastien Treserras;Kader Boulanouar;Kader Boulanouar

  • The role of pitch and timbre in voice gender categorization

    Cyril R. Pernet;Pascal Belin

  • Modeling Single-Trial ERP Reveals Modulation of Bottom-Up Face Visual Processing by Top-Down Task Constraints (in Some Subjects).

    Guillaume A Rousselet;Carl M Gaspar;Kacper P Wieczorek;Cyril R Pernet

Frequent Co-Authors

Guillaume A. Rousselet
Guillaume A. Rousselet University of Glasgow
Jean-François Démonet
Jean-François Démonet University Hospital of Lausanne
Joanna M. Wardlaw
Joanna M. Wardlaw University of Edinburgh
Pascal Belin
Pascal Belin Aix-Marseille University
Mark E. Bastin
Mark E. Bastin University of Edinburgh
Krzysztof J. Gorgolewski
Krzysztof J. Gorgolewski Stanford University
Arnaud Delorme
Arnaud Delorme University of California, San Diego
Amos Storkey
Amos Storkey University of Edinburgh
Rand R. Wilcox
Rand R. Wilcox University of Southern California
Robert Oostenveld
Robert Oostenveld Radboud University

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