World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
41
Citations
6160
World Ranking
7897
National Ranking
3395

Peter Brunner 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 Peter Brunner 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: 95 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Peter Brunner 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 Peter Brunner 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: 41 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Peter Brunner is affiliated with Washington University in St. Louis in the United States. Their research primarily focuses on neuroscience, with a particular emphasis on cognitive neuroscience and neurology. Other areas of study include cellular and molecular neuroscience, cardiology and cardiovascular medicine, and electrical and electronic engineering.

Brunner's work encompasses several main topics related to brain function and neural mechanisms. These include:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Memory and Neural Mechanisms
  • Vagus Nerve Stimulation Research
  • Neuroscience and Neural Engineering
  • Heart Rate Variability and Autonomic Control

Their recent publications include the following papers:

  • "A somato-cognitive action network alternates with effector regions in motor cortex," 2023, Nature
  • "A neural population selective for song in human auditory cortex," 2022, Current Biology
  • "Non-Invasive Brain-Computer Interfaces: State of the Art and Trends," 2024, IEEE Reviews in Biomedical Engineering
  • "Music can be reconstructed from human auditory cortex activity using nonlinear decoding models," 2023, PLoS Biology
  • "A motor association area in the depths of the central sulcus," 2023, Nature Neuroscience

Frequent co-authors who have collaborated with Brunner include:

  • Jon T. Willie
  • Gerwin Schalk
  • Markus Adamek
  • Eric C. Leuthardt
  • Hohyun Cho

Brunner has published extensively in a variety of scientific venues. The most common publication outlets are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • eLife
  • Journal of Neural Engineering
  • Current Biology

Best Publications

  • A somato-cognitive action network alternates with effector regions in motor cortex

    Unknown

  • Does the “P300” Speller Depend on Eye Gaze?

    P Brunner;P Brunner;P Brunner;S Joshi;S Joshi;S Briskin;J R Wolpaw;J R Wolpaw

  • Brain-to-text: Decoding spoken phrases from phone representations in the brain

    Christian Herff;Dominic Heger;Adriana de Pesters;Adriana de Pesters;Dominic Telaar

  • Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition

    Xiaomei Pei;Eric C. Leuthardt;Charles M. Gaona;Peter Brunner

  • Decoding spectrotemporal features of overt and covert speech from the human cortex

    Stéphanie Martin;Stéphanie Martin;Peter Brunner;Peter Brunner;Chris Holdgraf;Hans-Jochen Heinze

  • Toward A High-Throughput Auditory P300-based Brain-Computer Interface

    Daniela Klobassa;Daniela Klobassa;Theresa M. Vaughan;P. Brunner;N.E. Schwartz

  • Neural correlate of the construction of sentence meaning

    Evelina Fedorenko;Terri L Scott;Peter Brunner;William G Coon

  • Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

    N. Jeremy Hill;Disha Gupta;Disha Gupta;Peter Brunner;Peter Brunner;Aysegul Gunduz;Aysegul Gunduz

  • Word pair classification during imagined speech using direct brain recordings.

    Stephanie Martin;Stephanie Martin;Peter Brunner;Peter Brunner;Iñaki Iturrate;José del R. Millán

  • Interferon-gamma limits the availability of iron for intramacrophage Salmonella typhimurium.

    Manfred Nairz;Gernot Fritsche;Peter Brunner;Heribert Talasz

  • The tracking of speech envelope in the human cortex.

    Jan Kubanek;Peter Brunner;Peter Brunner;Aysegul Gunduz;Aysegul Gunduz;David Poeppel

  • Rapid Communication with a “P300” Matrix Speller Using Electrocorticographic Signals (ECoG)

    Peter Brunner;Peter Brunner;Peter Brunner;Anthony L. Ritaccio;Joseph F. Emrich;Horst Bischof

  • A practical procedure for real-time functional mapping of eloquent cortex using electrocorticographic signals in humans

    Peter Brunner;Peter Brunner;Anthony L. Ritaccio;Timothy M. Lynch;Joseph F. Emrich

  • Current trends in hardware and software for brain-computer interfaces (BCIs)

    P Brunner;L Bianchi;C Guger;F Cincotti

  • Brain–computer interfaces (BCIs): Detection instead of classification

    G. Schalk;Peter Brunner;Peter Brunner;L.A. Gerhardt;Horst Bischof

  • Fungi as bioindicators of radiocaesium contamination: pre- and post-Chernobyl activities

    K. Haselwandter;M. Berreck;P. Brunner

  • A neural population selective for song in human auditory cortex

    Unknown

  • Real-time detection of event-related brain activity.

    Gerwin Schalk;Eric C. Leuthardt;Peter Brunner;Peter Brunner;Jeffrey G. Ojemann

  • ELECTRICAL STIMULATION MAPPING of the Brain: Basic Principles and Emerging Alternatives

    Anthony L. Ritaccio;Peter Brunner;Peter Brunner;Gerwin Schalk;Gerwin Schalk

  • Non-invasive Brain-Computer Interfaces: State of the Art and Trends

    Unknown

  • Electrocorticographic representations of segmental features in continuous speech.

    Fabien Lotte;Jonathan S. Brumberg;Peter Brunner;Aysegul Gunduz

  • Alpha power indexes task-related networks on large and small scales: A multimodal ECoG study in humans and a non-human primate

    A de Pesters;A de Pesters;W G Coon;P Brunner;P Brunner;A Gunduz

  • Spatial and Temporal Relationships of Electrocorticographic Alpha and Gamma Activity During Auditory Processing

    Cristhian Potes;Cristhian Potes;Peter Brunner;Peter Brunner;Peter Brunner;Aysegul Gunduz;Aysegul Gunduz;Aysegul Gunduz;Robert T. Knight

Frequent Co-Authors

Gerwin Schalk
Gerwin Schalk Sichuan University
Ayşegül Gündüz
Ayşegül Gündüz University of Florida
Jonathan R. Wolpaw
Jonathan R. Wolpaw National Center for Adaptive Neurotechnologies
Robert T. Knight
Robert T. Knight University of California, Berkeley
Eric C. Leuthardt
Eric C. Leuthardt Washington University in St. Louis
Horst Bischof
Horst Bischof Graz University of Technology
Thomas Fahringer
Thomas Fahringer University of Innsbruck
Hong-Linh Truong
Hong-Linh Truong Aalto University
Bijan Pesaran
Bijan Pesaran New York University

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