World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
52
Citations
15777
World Ranking
5218
National Ranking
2334

Russell A. Epstein 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 Russell A. Epstein 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: 127 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Russell A. Epstein 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 Russell A. Epstein 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: 52 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Russell A. Epstein is affiliated with the University of Pennsylvania in the United States. Their research centers on neuroscience, computer science, and engineering, with a particular focus on cognitive neuroscience, automotive engineering, computer vision and pattern recognition, artificial intelligence, and sensory systems.

The scientist's main topics of investigation include:

  • Memory and Neural Mechanisms
  • Spatial Cognition and Navigation
  • Visual Attention and Saliency Detection
  • Cognitive Science and Mapping
  • Olfactory and Sensory Function Studies
  • Multisensory Perception and Integration
  • Face Recognition and Perception

Russell A. Epstein has published frequently in several venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Vision
  • Nature Communications
  • Current Biology
  • Trends in Cognitive Sciences

Recent notable publications include:

  • Structuring Knowledge with Cognitive Maps and Cognitive Graphs, 2020, Trends in Cognitive Sciences
  • Object representations in the human brain reflect the co-occurrence statistics of vision and language, 2021, Nature Communications
  • The parahippocampal place area and hippocampus encode the spatial significance of landmark objects, 2021, NeuroImage
  • The human brain uses spatial schemas to represent segmented environments, 2021, Current Biology
  • Exploration patterns shape cognitive map learning, 2022, Cognition

The scientist collaborates frequently with several researchers, including:

  • Michael Peer
  • Joshua B. Julian
  • Michael Bonner
  • Alexandra T. Keinath
  • Iva K. Brunec

Russell A. Epstein's work integrates approaches from cognitive neuroscience and computer science to explore how the human brain represents and processes visual and spatial information. This interdisciplinary research contributes to understanding neural mechanisms underlying navigation, memory, and perception. Their investigations also involve computational modeling and artificial intelligence methodologies applied to sensory processing and mapping.

Best Publications

  • A cortical representation of the local visual environment

    Russell Epstein;Nancy Kanwisher

  • Parahippocampal and retrosplenial contributions to human spatial navigation.

    Russell A. Epstein

  • The parahippocampal place area: recognition, navigation, or encoding?

    Russell Epstein;Alison Harris;Damian Stanley;Nancy Kanwisher;Nancy Kanwisher

  • The cognitive map in humans: spatial navigation and beyond

    Russell A Epstein;Eva Zita Patai;Joshua B Julian;Hugo J Spiers

  • 'Insight' in the pigeon: antecedents and determinants of an intelligent performance.

    R. Epstein;C. E. Kirshnit;R. P. Lanza;L. C. Rubin

  • Viewpoint-specific scene representations in human parahippocampal cortex

    Russell Epstein;Russell Epstein;Kim Samantha Graham;Paul E. Downing

  • Where Am I Now? Distinct Roles for Parahippocampal and Retrosplenial Cortices in Place Recognition

    Russell A Epstein;Whitney E Parker;Alana M Feiler

  • Perceptual deficits in amnesia: challenging the medial temporal lobe 'mnemonic' view.

    Andy C. H. Lee;Tim J. Bussey;Elisabeth A. Murray;Lisa M. Saksida

  • Scene Perception in the Human Brain.

    Russell A Epstein;Chris I Baker

  • Variations in Cognitive Maps: Understanding Individual Differences in Navigation

    Steven M. Weisberg;Victor R. Schinazi;Nora S. Newcombe;Thomas F. Shipley

  • Anchoring the neural compass: coding of local spatial reference frames in human medial parietal lobe.

    Steven A Marchette;Lindsay K Vass;Jack Ryan;Russell A Epstein

  • Structuring Knowledge with Cognitive Maps and Cognitive Graphs.

    Michael Peer;Iva K. Brunec;Nora S. Newcombe;Russell A. Epstein

  • Hippocampal size predicts rapid learning of a cognitive map in humans

    Victor R. Schinazi;Daniele Nardi;Nora S. Newcombe;Thomas F. Shipley

  • Distances between Real-World Locations Are Represented in the Human Hippocampus

    Lindsay K. Morgan;Sean P. MacEvoy;Geoffrey K. Aguirre;Russell A. Epstein

  • Coding of navigational affordances in the human visual system.

    Michael F. Bonner;Russell A. Epstein

  • Neural systems for landmark-based wayfinding in humans.

    Russell A. Epstein;Lindsay K. Vass

  • Neuropsychological evidence for a topographical learning mechanism in parahippocampal cortex

    Russell Epstein;Edgar A. DeYoe;Daniel Z. Press;Allyson C. Rosen

  • Visual scene processing in familiar and unfamiliar environments.

    Russell A. Epstein;J. Stephen Higgins;Karen Jablonski;Alana M. Feiler

  • Differential parahippocampal and retrosplenial involvement in three types of visual scene recognition.

    Russell A. Epstein;J. Stephen Higgins

  • Learning Places from Views: Variation in Scene Processing as a Function of Experience and Navigational Ability

    Russell A. Epstein;J. Stephen Higgins;Sharon L. Thompson-schill

Frequent Co-Authors

Geoffrey K. Aguirre
Geoffrey K. Aguirre University of Pennsylvania
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Sharon L. Thompson-Schill
Sharon L. Thompson-Schill University of Pennsylvania
Paul E. Downing
Paul E. Downing Bangor University
Nora S. Newcombe
Nora S. Newcombe Temple University
Adrian M. Owen
Adrian M. Owen University of Western Ontario
John C. Trueswell
John C. Trueswell University of Pennsylvania
Roy H. Hamilton
Roy H. Hamilton University of Pennsylvania
Kim S. Graham
Kim S. Graham Cardiff University

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