World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
54
Citations
43543
World Ranking
4819
National Ranking
2165

Arnaud Delorme 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 Arnaud Delorme 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: 166 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Arnaud Delorme 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 Arnaud Delorme 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: 54 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Overview

Arnaud Delorme is affiliated with the University of California, San Diego in the United States. Their research is primarily situated within the field of Neuroscience, with a focus on Cognitive Neuroscience evidenced by a substantial body of work.

Their work covers a variety of subfields including Social Psychology, Cardiology and Cardiovascular Medicine, Complementary and Alternative Medicine, and Signal Processing. The main topics of research include EEG and Brain-Computer Interfaces, Functional Brain Connectivity Studies, Neural Dynamics and Brain Function, Neural and Behavioral Psychology Studies, Paranormal Experiences and Beliefs, Heart Rate Variability and Autonomic Control, and Blind Source Separation Techniques.

Recent publications by Arnaud Delorme include:

  • "EEG is better left alone" (2023, Scientific Reports)
  • "The Lab Streaming Layer for Synchronized Multimodal Recording" (2024, bioRxiv [Cold Spring Harbor Laboratory])
  • "The open EEGLAB portal Interface: High-Performance computing with EEGLAB" (2020, NeuroImage)
  • "Meditation and the Wandering Mind: A Theoretical Framework of Underlying Neurocognitive Mechanisms" (2020, Perspectives on Psychological Science)
  • "From BIDS-Formatted EEG Data to Sensor-Space Group Results: A Fully Reproducible Workflow With EEGLAB and LIMO EEG" (2021, Frontiers in Neuroscience)

Frequent co-authors collaborating with Arnaud Delorme include Helané Wahbeh, Scott Makeig, Dean Radin, Dung Truong, and Garret Yount. These collaborations highlight interdisciplinary work likely spanning neuroscience and related psychological and physiological fields.

The scientist's publications have frequently appeared in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), EXPLORE, Zenodo (CERN European Organization for Nuclear Research), and F1000Research, reflecting a diverse dissemination strategy across open-access and preprint platforms.

Best Publications

  • EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

    Arnaud Delorme;Scott Makeig

  • Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis

    Arnaud Delorme;Terrence J. Sejnowski;Scott Makeig

  • Mining event-related brain dynamics.

    Scott Makeig;Stefan Debener;Julie Onton;Arnaud Delorme

  • Frontal midline EEG dynamics during working memory.

    Julie Onton;Arnaud Delorme;Scott Makeig

  • Spike-based strategies for rapid processing.

    Simon J. Thorpe;Arnaud Delorme;Rufin van Rullen

  • Independent EEG sources are dipolar.

    Arnaud Delorme;Arnaud Delorme;Arnaud Delorme;Jason Palmer;Julie Onton;Robert Oostenveld

  • EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing

    Arnaud Delorme;Tim Mullen;Christian Kothe;Zeynep Akalin Acar

  • Lost in thoughts: neural markers of low alertness during mind wandering.

    Claire Braboszcz;Arnaud Delorme;Arnaud Delorme;Arnaud Delorme

  • A Limit to the Speed of Processing in Ultra-Rapid Visual Categorization of Novel Natural Scenes

    Michèle Fabre-Thorpe;Arnaud Delorme;Catherine Marlot;Simon Thorpe

  • Electroencephalographic Brain Dynamics Following Manually Responded Visual Targets

    Scott Makeig;Arnaud Delorme;Marissa Westerfield;Tzyy-Ping Jung

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

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

  • Single-Trial Normalization for Event-Related Spectral Decomposition Reduces Sensitivity to Noisy Trials

    Romain Grandchamp;Romain Grandchamp;Arnaud Delorme;Arnaud Delorme;Arnaud Delorme

  • Occipital gamma activation during Vipassana meditation

    B. Rael Cahn;Arnaud Delorme;Arnaud Delorme;John Polich

  • What is novel in the novelty oddball paradigm? Functional significance of the novelty P3 event-related potential as revealed by independent component analysis.

    Stefan Debener;Scott Makeig;Arnaud Delorme;Andreas K. Engel

  • SPIKENET : A SIMULATOR FOR MODELING LARGE NETWORKS OF INTEGRATE AND FIRE NEURONS

    Arnaud Delorme;Jacques Gautrais;Rufin van Rullen;Simon J. Thorpe

  • Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes.

    Arnaud Delorme;Guillaume A Rousselet;Marc J.-M Macé;Michèle Fabre-Thorpe

  • Ultra-rapid categorisation of natural scenes does not rely on colour cues: a study in monkeys and humans

    A Delorme;G Richard;M Fabre-Thorpe

  • Eeglab - an Open Source Matlab Toolbox for Electrophysiological Research.

    Clemens Brunner;Arnaud Delorme;Scott Makeig

  • Increased Gamma Brainwave Amplitude Compared to Control in Three Different Meditation Traditions.

    Claire Braboszcz;Claire Braboszcz;B. Rael Cahn;Jonathan Levy;Manuel Fernandez

  • AUTOMATIC ARTIFACT REJECTION FOR EEG DATA USING HIGH-ORDER STATISTICS AND INDEPENDENT COMPONENT ANALYSIS

    A. Delorme;S. Makeig;T. Sejnowski;N. Torrey Pines

  • Face processing using one spike per neurone

    Rufin Van Rullen;Jacques Gautrais;Arnaud Delorme;Simon Thorpe

  • Face identification using one spike per neuron: resistance to image degradations.

    Arnaud Delorme;Simon J. Thorpe

Frequent Co-Authors

Scott Makeig
Scott Makeig University of California, San Diego
Simon J. Thorpe
Simon J. Thorpe Centre national de la recherche scientifique, CNRS
Robert Oostenveld
Robert Oostenveld Radboud University
Cyril Pernet
Cyril Pernet Copenhagen University Hospital
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Tzyy-Ping Jung
Tzyy-Ping Jung University of California, San Diego
Kenneth Kreutz-Delgado
Kenneth Kreutz-Delgado University of California, San Diego
Guillaume A. Rousselet
Guillaume A. Rousselet University of Glasgow
Jan-Mathijs Schoffelen
Jan-Mathijs Schoffelen Radboud University
Gerard J. Byrne
Gerard J. Byrne University of Queensland

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