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Jack L. Gallant

D-Index & Metrics

Neuroscience

D-Index
59
Citations
23141
World Ranking
3925
National Ranking
1780

Jack L. Gallant 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 Jack L. Gallant 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: 136 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Jack L. Gallant 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 Jack L. Gallant 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: 59 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Jack L. Gallant is affiliated with the University of California, Berkeley in the United States. Their research primarily lies in the field of Neuroscience, with a significant focus on Cognitive Neuroscience. Their work also extends into subfields such as Computer Vision and Pattern Recognition, Neurology, Social Psychology, and Artificial Intelligence.

The main topics of Jack L. Gallant's research include:

  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Face Recognition and Perception
  • Functional Brain Connectivity Studies
  • Neurobiology of Language and Bilingualism
  • Neural and Behavioral Psychology Studies
  • EEG and Brain-Computer Interfaces

The scientist has published extensively in several venues. Frequent publication venues include:

  • Journal of Vision
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 Conference on Cognitive Computational Neuroscience
  • Nature Communications
  • Journal of Neuroscience

Some of the recent papers authored or co-authored by Jack L. Gallant feature a range of topics from neurotechnology ethics to semantic representations in the brain. Selected recent publications are:

  • "Recommendations for Responsible Development and Application of Neurotechnologies," 2021, Neuroethics
  • "Visual and linguistic semantic representations are aligned at the border of human visual cortex," 2021, Nature Neuroscience
  • "Feature-space selection with banded ridge regression," 2022, NeuroImage
  • "Experience, circuit dynamics, and forebrain recruitment in larval zebrafish prey capture," 2020, eLife
  • "Semantic Representations during Language Comprehension Are Affected by Context," 2023, Journal of Neuroscience

Jack L. Gallant collaborates frequently with several researchers. Notable frequent co-authors include:

  • Tom Dupré la Tour
  • Fatma Deniz
  • Michael Eickenberg
  • Tianjiao Zhang
  • Emily Meschke

Best Publications

  • Natural speech reveals the semantic maps that tile human cerebral cortex

    Alexander G. Huth;Wendy A. de Heer;Thomas L. Griffiths;Thomas L. Griffiths;Frédéric E. Theunissen;Frédéric E. Theunissen

  • Identifying natural images from human brain activity.

    Kendrick N. Kay;Thomas Naselaris;Ryan J. Prenger;Jack L. Gallant;Jack L. Gallant

  • Sparse coding and decorrelation in primary visual cortex during natural vision.

    William E. Vinje;Jack L. Gallant

  • Reconstructing visual experiences from brain activity evoked by natural movies

    Shinji Nishimoto;An T. Vu;Thomas Naselaris;Yuval Benjamini

  • A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain

    Alexander G. Huth;Shinji Nishimoto;An T. Vu;Jack L. Gallant;Jack L. Gallant

  • Encoding and decoding in fMRI.

    Thomas Naselaris;Kendrick N. Kay;Shinji Nishimoto;Jack L. Gallant;Jack L. Gallant

  • Do we know what the early visual system does

    Matteo Carandini;Jonathan B. Demb;Valerio Mante;David J. Tolhurst

  • Selectivity for polar, hyperbolic, and Cartesian gratings in macaque visual cortex

    JL Gallant;J Braun;DC Van Essen

  • Bayesian Reconstruction of Natural Images from Human Brain Activity

    Thomas Naselaris;Ryan J. Prenger;Kendrick N. Kay;Michael Oliver

  • Neural responses to polar, hyperbolic, and Cartesian gratings in area V4 of the macaque monkey.

    J. L. Gallant;C. E. Connor;S. Rakshit;J. W. Lewis

  • Neural mechanisms of form and motion processing in the primate visual system

    David C. Van Essen;Jack L. Gallant

  • Four ethical priorities for neurotechnologies and AI

    Rafael Yuste;Sara Goering;Blaise Agüera y Arcas;Guoqiang Bi

  • Spatial attention effects in macaque area V4

    Charles E. Connor;Dean C. Preddie;Jack L. Gallant;Jack L. Gallant;David C. Van Essen

  • Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli.

    Frédéric E. Theunissen;Stephen V. David;Nandini C. Singh;Anne Hsu

  • Toward a Unified Theory of Visual Area V4

    Anna W. Roe;Leonardo Chelazzi;Charles E. Connor;Bevil R. Conway

  • Natural stimulus statistics alter the receptive field structure of v1 neurons.

    Stephen V. David;William E. Vinje;Jack L. Gallant

  • Attention during natural vision warps semantic representation across the human brain

    Tolga Çukur;Shinji Nishimoto;Shinji Nishimoto;Alexander G Huth;Jack L Gallant;Jack L Gallant

  • Complete functional characterization of sensory neurons by system identification.

    Michael C.-K. Wu;Stephen V. David;Jack L. Gallant

  • A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes

    Thomas Naselaris;Cheryl A. Olman;Dustin E. Stansbury;Kamil Ugurbil

  • Response modulation by texture surround in primate area V1: correlates of "popout" under anesthesia.

    Hans-Christoph Nothdurft;Jack L. Gallant;David C. Van Essen

Frequent Co-Authors

Stephen V. David
Stephen V. David Oregon Health & Science University
Kendrick Kay
Kendrick Kay University of Minnesota
David C. Van Essen
David C. Van Essen Washington University in St. Louis
Benjamin Y. Hayden
Benjamin Y. Hayden Baylor College of Medicine
Ehud Y. Isacoff
Ehud Y. Isacoff University of California, Berkeley
Claire Wyart
Claire Wyart Institut du Cerveau
Frédéric E. Theunissen
Frédéric E. Theunissen University of California, Berkeley
Charles E. Connor
Charles E. Connor Johns Hopkins University
Bin Yu
Bin Yu University of California, Berkeley
Thomas L. Griffiths
Thomas L. Griffiths Princeton University

External Links

Personal website of Jack L. Gallant Google Scholar page

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Best Scientists Citing Jack L. Gallant

Nikolaus Kriegeskorte

Nikolaus Kriegeskorte

Columbia University

Publications: 57

Kendrick Kay

Kendrick Kay

University of Minnesota

Publications: 44

John T. Serences

John T. Serences

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Publications: 44

Robert T. Knight

Robert T. Knight

University of California, Berkeley

Publications: 40

Evelina Fedorenko

Evelina Fedorenko

MIT

Publications: 40

Nancy Kanwisher

Nancy Kanwisher

MIT

Publications: 37

Rainer Goebel

Rainer Goebel

Maastricht University

Publications: 35

Hugh R. Wilson

Hugh R. Wilson

York University

Publications: 35

Charles E. Connor

Charles E. Connor

Johns Hopkins University

Publications: 35

Christof Koch

Christof Koch

Allen Institute for Brain Science

Publications: 34

Federico De Martino

Federico De Martino

Maastricht University

Publications: 33

Robert Desimone

Robert Desimone

MIT

Publications: 33

Sabine Kastner

Sabine Kastner

Princeton University

Publications: 32

Shihab A. Shamma

Shihab A. Shamma

University of Maryland, College Park

Publications: 32

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Leslie G. Ungerleider

National Institutes of Health

Publications: 32

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James J. DiCarlo

MIT

Publications: 31

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