World's Best Scientists 2026 revealed!
Gerwin Schalk

Gerwin Schalk

D-Index & Metrics

Neuroscience

D-Index
70
Citations
27863
World Ranking
2460
National Ranking
33

Computer Science

D-Index
65
Citations
25789
World Ranking
2401
National Ranking
325

Gerwin Schalk publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Gerwin Schalk sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Gerwin Schalk D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Gerwin Schalk sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Gerwin Schalk is affiliated with Fudan University in China and has contributed extensively to the field of neuroscience, with a primary focus on cognitive neuroscience and its applications. Their research spans multiple subfields including cellular and molecular neuroscience, signal processing, artificial intelligence, and neurology.

The main thematic areas of Schalk's work encompass EEG and brain-computer interfaces, neural dynamics and brain function, neuroscience and neural engineering, neuroscience and music perception, functional brain connectivity studies, music and audio processing, as well as neural networks and applications.

Schalk has published numerous papers in prominent scientific venues. Recent publications include:

  • 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
  • Translation of neurotechnologies, 2024, Nature Reviews Bioengineering

Frequent coauthors that Schalk has collaborated with include:

  • Peter Brunner
  • Kai J. Miller
  • Robert T. Knight
  • Markus Adamek
  • Anaïs Llorens

Schalk's contributions have appeared repeatedly in various publication venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Current Biology
  • Nature Neuroscience
  • NeuroImage

The extensive nature of their work in neuroscience is reflected in a total of 60 publications within the main field. The emphasis on cognitive neuroscience accounts for a significant subset of these, with 50 publications, alongside research in cellular and molecular neuroscience and related technological domains. Their work addresses the interplay between brain-computer interfacing technologies and neural mechanisms underlying auditory and motor functions, contributing to understanding brain function and advancing neurotechnology translation.

Best Publications

  • BCI2000: a general-purpose brain-computer interface (BCI) system

    G. Schalk;D.J. McFarland;T. Hinterberger;N. Birbaumer

  • Brain-computer interface technology: a review of the first international meeting

    J.R. Wolpaw;N. Birbaumer;W.J. Heetderks;D.J. McFarland

  • A brain-computer interface using electrocorticographic signals in humans.

    Eric C Leuthardt;Gerwin Schalk;Jonathan R Wolpaw;Jonathan R Wolpaw;Jeffrey G Ojemann

  • Review of the BCI Competition IV

    Michael Tangermann;Klaus Robert Müller;Ad Aertsen;Niels Birbaumer

  • The BCI competition III: validating alternative approaches to actual BCI problems

    B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk

  • The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials

    B. Blankertz;K.-R. Muller;G. Curio;T.M. Vaughan

  • Spectral changes in cortical surface potentials during motor movement.

    Kai J. Miller;Eric C. Leuthardt;Gerwin Schalk;Rajesh P. N. Rao

  • Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.

    A. Kübler;F. Nijboer;J. Mellinger;T. M. Vaughan

  • Cortical activity during motor execution, motor imagery, and imagery-based online feedback

    Kai J. Miller;Gerwin Schalk;Eberhard E. Fetz;Marcel den Nijs

  • Decoding two-dimensional movement trajectories using electrocorticographic signals in humans.

    G Schalk;J Kubánek;K J Miller;N R Anderson

  • Two-dimensional movement control using electrocorticographic signals in humans

    G. Schalk;G. Schalk;G. Schalk;K. J. Miller;N. R. Anderson;J. A. Wilson

  • An MEG-based brain-computer interface (BCI)

    Jürgen Mellinger;Gerwin Schalk;Gerwin Schalk;Christoph Braun;Hubert Preissl;Hubert Preissl

  • Brain-Computer Interfaces Using Electrocorticographic Signals

    Gerwin Schalk;Eric C. Leuthardt

  • Towards an independent brain–computer interface using steady state visual evoked potentials

    Brendan Z. Allison;Dennis J. McFarland;Gerwin Schalk;Shi Dong Zheng

  • The wadsworth BCI research and development program: at home with BCI

    T.M. Vaughan;D.J. McFarland;G. Schalk;W.A. Sarnacki

  • Non-invasive brain-computer interface system: towards its application as assistive technology

    Febo Cincotti;Donatella Mattia;Fabio Aloise;Simona Bufalari

  • 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

  • Electrocorticography-based brain computer Interface-the seattle experience

    E.C. Leuthardt;K.J. Miller;G. Schalk;R.P.N. Rao

  • Decoding flexion of individual fingers using electrocorticographic signals in humans.

    J Kubánek;K J Miller;J G Ojemann;J R Wolpaw

  • Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities.

    Daryl R. Kipke;William Shain;György Buzsáki;E. Fetz

Frequent Co-Authors

Peter Brunner
Peter Brunner Washington University in St. Louis
Eric C. Leuthardt
Eric C. Leuthardt Washington University in St. Louis
Jonathan R. Wolpaw
Jonathan R. Wolpaw National Center for Adaptive Neurotechnologies
Ayşegül Gündüz
Ayşegül Gündüz University of Florida
Jeffrey G. Ojemann
Jeffrey G. Ojemann University of Washington
Kai J. Miller
Kai J. Miller Mayo Clinic
Daniel W. Moran
Daniel W. Moran Washington University in St. Louis
Rajesh P. N. Rao
Rajesh P. N. Rao University of Washington
Robert T. Knight
Robert T. Knight University of California, Berkeley
Niels Birbaumer
Niels Birbaumer University of Tübingen

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