World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
122
Citations
77790
World Ranking
358
National Ranking
216

James V. Haxby 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 James V. Haxby 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: 334 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

James V. Haxby 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 James V. Haxby 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: 122 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Overview

James V. Haxby is affiliated with Dartmouth College in the United States and specializes in the field of neuroscience, with a particular focus on cognitive neuroscience. Their research covers various subfields including radiology, nuclear medicine and imaging, computer vision and pattern recognition, experimental and cognitive psychology, and information systems and management.

The primary topics of their work include functional brain connectivity studies, neural dynamics and brain function, face recognition and perception, advanced neuroimaging techniques and applications, visual perception and processing mechanisms, face recognition and analysis, and visual attention and saliency detection.

James V. Haxby has published extensively, with some of the most recent papers being:

  • Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies, 2020, eLife
  • Naturalistic stimuli reveal a dominant role for agentic action in visual representation, 2020, NeuroImage

A number of other notable publications featuring co-authorship with Haxby include:

  • DataLad: distributed system for joint management of code, data, and their relationship, 2021, The Journal of Open Source Software
  • The neural basis of intelligence in fine-grained cortical topographies, 2021, eLife
  • Shared neural codes for visual and semantic information about familiar faces in a common representational space, 2021, Proceedings of the National Academy of Sciences

Frequent collaborators in their research are:

  • Ma Feilong
  • M. Ida Gobbini
  • Samuel A. Nastase
  • Guo Jiahui
  • Matteo Visconti di Oleggio Castello

Their work is frequently published in venues such as bioRxiv (Cold Spring Harbor Laboratory), Journal of Vision, eLife, NeuroImage, and Proceedings of the National Academy of Sciences.

Best Publications

  • The distributed human neural system for face perception.

    James V. Haxby;Elizabeth A. Hoffman;M.Ida Gobbini

  • Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex

    James V. Haxby;M. Ida Gobbini;Maura L. Furey;Alumit Ishai

  • Beyond mind-reading: multi-voxel pattern analysis of fMRI data

    Kenneth A. Norman;Sean M. Polyn;Greg J. Detre;James V. Haxby

  • 'What' and 'where' in the human brain.

    Leslie G. Ungerleider;James V. Haxby

  • Neural correlates of category-specific knowledge

    Alex Martin;Cheri L. Wiggs;Leslie G. Ungerleider;James V. Haxby

  • Distinct representations of eye gaze and identity in the distributed human neural system for face perception

    Elizabeth A. Hoffman;James V. Haxby

  • Human neural systems for face recognition and social communication.

    James V. Haxby;Elizabeth A. Hoffman;M.Ida Gobbini

  • Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects

    Linda L. Chao;James V. Haxby;Alex Martin

  • A developmental functional mri study of prefrontal activation during performance of a go-no-go task

    B. J. Casey;Rolf J. Trainor;Jennifer L. Orendi;Anne B. Schubert

  • The functional organization of human extrastriate cortex: a PET-rCBF study of selective attention to faces and locations

    James V. Haxby;Barry Horwitz;Leslie G. Ungerleider;Jose Ma Maisog

  • Discrete Cortical Regions Associated with Knowledge of Color and Knowledge of Action

    Alex Martin;James V. Haxby;François M. Lalonde;Cheri L. Wiggs

  • Spatial pattern analysis of functional brain images using partial least squares.

    A.R. McIntosh;F.L. Bookstein;J.V. Haxby;C.L. Grady;C.L. Grady

  • Dissociation of object and spatial visual processing pathways in human extrastriate cortex

    James V. Haxby;Cheryl L. Grady;Barry Horwitz;Leslie G. Ungerleider

  • An Area Specialized for Spatial Working Memory in Human Frontal Cortex

    Susan M. Courtney;Laurent Petit;José Ma. Maisog;Leslie G. Ungerleider

  • Transient and sustained activity in a distributed neural system for human working memory

    Susan M. Courtney;Leslie G. Ungerleider;Katrina Keil;James V. Haxby

  • Distributed representation of objects in the human ventral visual pathway

    Alumit Ishai;Leslie G. Ungerleider;Alex Martin;Jennifer L. Schouten

  • Neural systems for recognition of familiar faces.

    M. Ida Gobbini;M. Ida Gobbini;James V. Haxby

  • Object and Spatial Visual Working Memory Activate Separate Neural Systems in Human Cortex

    Susan M. Courtney;Leslie G. Ungerleider;Katrina Keil;James V. Haxby

  • Age-related changes in cortical blood flow activation during visual processing of faces and location

    Cheryl L. Grady;Jose Ma Maisog;Barry Horwitz;Leslie G. Ungerleider

  • A neural system for human visual working memory

    Leslie G. Ungerleider;Susan M. Courtney;James V. Haxby

Frequent Co-Authors

Cheryl L. Grady
Cheryl L. Grady University of Toronto
Stanley I. Rapoport
Stanley I. Rapoport National Institutes of Health
Mark B. Schapiro
Mark B. Schapiro Cincinnati Children's Hospital Medical Center
Pietro Pietrini
Pietro Pietrini IMT Institute for Advanced Studies Lucca
Leslie G. Ungerleider
Leslie G. Ungerleider National Institutes of Health
Barry Horwitz
Barry Horwitz National Institutes of Health
Emiliano Ricciardi
Emiliano Ricciardi IMT Institute for Advanced Studies Lucca
Alex Martin
Alex Martin National Institutes of Health
Maura L. Furey
Maura L. Furey Janssen (Belgium)
Peter J. Ramadge
Peter J. Ramadge Princeton University

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