World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
45
Citations
18056
World Ranking
6795
National Ranking
2936

Joshua I. Gold 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 Joshua I. Gold 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: 113 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Joshua I. Gold 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 Joshua I. Gold 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: 45 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Joshua I. Gold is affiliated with the University of Pennsylvania in the United States and specializes in neuroscience with a significant focus on cognitive neuroscience. Their research contributions span multiple subfields including general decision sciences, artificial intelligence, cellular and molecular neuroscience, and neurology.

Their work involves a variety of main topics such as:

  • Neural dynamics and brain function
  • Neural and behavioral psychology studies
  • Decision-making and behavioral economics
  • Neuroscience and neuropharmacology research
  • EEG and brain-computer interfaces
  • Neuroscience and music perception
  • Visual perception and processing mechanisms

Joshua I. Gold has published extensively, with significant contributions appearing in journals such as bioRxiv (Cold Spring Harbor Laboratory), eLife, PLoS Computational Biology, Trends in Cognitive Sciences, and Nature Communications. Among the recent papers, notable examples include:

  • "Pupil Size as a Window on Neural Substrates of Cognition" (2020) in Trends in Cognitive Sciences
  • "The caudate nucleus contributes causally to decisions that balance reward and uncertain visual information" (2020) in eLife
  • "Pupil diameter encodes the idiosyncratic, cognitive complexity of belief updating" (2020) in eLife
  • "Context-dependent relationships between locus coeruleus firing patterns and coordinated neural activity in the anterior cingulate cortex" (2022) in eLife
  • "Functional brain network reconfiguration during learning in a dynamic environment" (2020) in Nature Communications

The scientist frequently collaborates with several researchers, including:

  • Long Ding
  • Yunshu Fan
  • Ashwin G. Ramayya
  • Vivek Buch
  • Krešimir Josić́

Best Publications

  • The Neural Basis of Decision Making

    Joshua I. Gold;Michael N. Shadlen

  • Relationships between Pupil Diameter and Neuronal Activity in the Locus Coeruleus, Colliculi, and Cingulate Cortex.

    Siddhartha Joshi;Yin Li;Rishi M. Kalwani;Joshua I. Gold

  • Neural computations that underlie decisions about sensory stimuli

    Joshua I. Gold;Michael N. Shadlen

  • Rational regulation of learning dynamics by pupil-linked arousal systems

    Matthew R Nassar;Katherine M Rumsey;Robert C Wilson;Kinjan Parikh

  • Representation of a perceptual decision in developing oculomotor commands.

    Joshua I. Gold;Michael N. Shadlen

  • Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area.

    Chi-Tat Law;Joshua I Gold

  • Banburismus and the brain: decoding the relationship between sensory stimuli, decisions, and reward.

    Joshua I. Gold;Michael N. Shadlen

  • An approximately Bayesian delta-rule model explains the dynamics of belief updating in a changing environment

    Matthew R. Nassar;Robert C. Wilson;Benjamin Heasly;Joshua I. Gold

  • Pupil Size as a Window on Neural Substrates of Cognition.

    Siddhartha Joshi;Joshua I. Gold

  • Reinforcement learning can account for associative and perceptual learning on a visual-decision task

    Chi-Tat Law;Joshua I Gold

  • On the nature and use of models in network neuroscience

    Danielle S. Bassett;Perry Zurn;Joshua I. Gold

  • The Influence of Behavioral Context on the Representation of a Perceptual Decision in Developing Oculomotor Commands

    Joshua I. Gold;Michael N. Shadlen

  • Caudate encodes multiple computations for perceptual decisions.

    Long Ding;Joshua I. Gold

  • Functionally Dissociable Influences on Learning Rate in a Dynamic Environment

    Joseph T. McGuire;Matthew R. Nassar;Matthew R. Nassar;Joshua I. Gold;Joseph W. Kable

  • Neural Correlates of Perceptual Decision Making before, during, and after Decision Commitment in Monkey Frontal Eye Field

    Long Ding;Joshua I. Gold

  • Perceptual learning

    Unknown

  • Normative evidence accumulation in unpredictable environments

    Christopher M Glaze;Joseph W Kable;Joshua I Gold

  • Distinct Representations of a Perceptual Decision and the Associated Oculomotor Plan in the Monkey Lateral Intraparietal Area

    Sharath Bennur;Joshua I. Gold

  • The Basal Ganglia’s Contributions to Perceptual Decision Making

    Long Ding;Joshua I. Gold

  • Bayesian online learning of the hazard rate in change-point problems

    Robert C. Wilson;Matthew R. Nassar;Joshua I. Gold

  • The Relative Influences of Priors and Sensory Evidence on an Oculomotor Decision Variable During Perceptual Learning

    Joshua I. Gold;Chi-Tat Law;Patrick Connolly;Sharath Bennur

Frequent Co-Authors

Joseph W. Kable
Joseph W. Kable University of Pennsylvania
Michael N. Shadlen
Michael N. Shadlen Columbia University
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Yale E. Cohen
Yale E. Cohen University of Pennsylvania
Eric I. Knudsen
Eric I. Knudsen Stanford University
Daniel M. Wolpert
Daniel M. Wolpert Columbia University
Theodore D. Satterthwaite
Theodore D. Satterthwaite University of Pennsylvania
Nikos K. Logothetis
Nikos K. Logothetis Chinese Academy of Sciences
Hauke R. Heekeren
Hauke R. Heekeren Universität Hamburg
Richard F. Betzel
Richard F. Betzel Indiana University

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