World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
63
Citations
21378
World Ranking
3065
National Ranking
1745

Neuroscience

D-Index
67
Citations
23137
World Ranking
2831
National Ranking
1315

Computer Science

D-Index
62
Citations
18286
World Ranking
2862
National Ranking
1415

Michael J. Tarr 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 Michael J. Tarr 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: 233 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Michael J. Tarr 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 Michael J. Tarr 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: 67 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2007 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Michael J. Tarr is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the fields of Computer Science and Neuroscience, with significant contributions in Cognitive Neuroscience and Computer Vision and Pattern Recognition. Additional subfields include Artificial Intelligence, Biophysics, and Nutrition and Dietetics.

The scientist's work revolves around key topics such as visual perception and processing mechanisms, visual attention and saliency detection, face recognition and perception, multimodal machine learning applications, neural dynamics and brain function, domain adaptation and few-shot learning, and cell image analysis techniques.

Publications by Michael J. Tarr have appeared frequently in several venues, highlighting a prolific contribution to different domains. These venues include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Vision
  • 2022 Conference on Cognitive Computational Neuroscience
  • PLoS ONE

Among the recent papers authored or co-authored by Michael J. Tarr are:

  • Improving the accuracy of single-trial fMRI response estimates using GLMsingle, 2022, eLife
  • Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset, 2023, Nature Machine Intelligence
  • Selectivity for food in human ventral visual cortex, 2023, Communications Biology
  • Learning Neural Acoustic Fields, 2022, arXiv (Cornell University)
  • GLMsingle: a toolbox for improving single-trial fMRI response estimates, 2022, bioRxiv (Cold Spring Harbor Laboratory)

Frequent collaborators include:

  • Leila Wehbe
  • Margaret M. Henderson
  • Gabriel Sarch
  • Jacob S. Prince
  • Aria Wang

In recognition of scholarly work, Michael J. Tarr was awarded the fellowship of the John Simon Guggenheim Memorial Foundation in 2007.

Best Publications

  • Activation of the middle fusiform 'face area' increases with expertise in recognizing novel objects.

    Isabel Gauthier;Michael J. Tarr;Adam W. Anderson;Pawel Skudlarski

  • Becoming a “Greeble” Expert: Exploring Mechanisms for Face Recognition

    Isabel Gauthier;Michael J. Tarr

  • Mental rotation and orientation-dependence in shape recognition

    Michael J Tarr;Steven Pinker

  • The N170 occipito-temporal component is delayed and enhanced to inverted faces but not to inverted objects: an electrophysiological account of face-specific processes in the human brain

    Bruno Rossion;Isabel Gauthier;Michael J Tarr;P Despland

  • The Fusiform Face Area is Part of a Network that Processes Faces at the Individual Level

    Isabel Gauthier;Michael J. Tarr;Jill Moylan;Pawel Skudlarski

  • Early lateralization and orientation tuning for face, word, and object processing in the visual cortex

    Bruno Rossion;Carrie A Joyce;Garrison W Cottrell;Michael J Tarr

  • FFA: a flexible fusiform area for subordinate-level visual processing automatized by expertise

    Michael J. Tarr;Isabel Gauthier

  • Image-based object recognition in man, monkey and machine

    Michael J. Tarr;Hienrich H. Bülthoff

  • Rotating objects to recognize them: A case study on the role of viewpoint dependency in the recognition of three-dimensional objects

    Michael J. Tarr

  • Do humans integrate routes into a cognitive map? Map- versus landmark-based navigation of novel shortcuts.

    Patrick Foo;William H. Warren;Andrew Duchon;Michael J. Tarr

  • Training ‘greeble’ experts: a framework for studying expert object recognition processes

    Isabel Gauthier;Pepper Williams;Michael J. Tarr;James Tanaka

  • Is human object recognition better described by geon structural descriptions or by multiple views? Comment on Biederman and Gerhardstein (1993).

    Michael J. Tarr;Heinrich H. Bülthoff

  • How Are Three-Deminsional Objects Represented in the Brain?

    Heinrich H. Buelthoff;Shimon Y. Edelman;Michael J. Tarr

  • Unraveling mechanisms for expert object recognition: bridging brain activity and behavior.

    Isabel Gauthier;Michael J. Tarr

  • Three-dimensional object recognition is viewpoint dependent

    Michael J. Tarr;Pepper Williams;William G. Hayward;Isabel Gauthier

  • Can Face Recognition Really be Dissociated from Object Recognition

    Isabel Gauthier;Marlene Behrmann;Michael J. Tarr

  • Beyond faces and modularity: the power of an expertise framework

    Cindy M. Bukach;Isabel Gauthier;Michael J. Tarr

  • Expertise Training with Novel Objects Leads to Left-Lateralized Facelike Electrophysiological Responses

    Bruno Rossion;Bruno Rossion;Isabel Gauthier;Valérie Goffaux;Michael J Tarr

  • Spatial Language and Spatial Representation.

    William G. Hayward;Michael J. Tarr

  • Virtual reality in behavioral neuroscience and beyond.

    Michael J. Tarr;William H. Warren

  • The fusiform "face area" is part of a network that processes faces at the individual level (vol 12, pg 499, 2000)

    I Gauthier;M J Tarr;J Moylan;P Skudlarski

Frequent Co-Authors

Isabel Gauthier
Isabel Gauthier Vanderbilt University
Marlene Behrmann
Marlene Behrmann Carnegie Mellon University
Heinrich H. Bülthoff
Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics
Bruno Rossion
Bruno Rossion University of Lorraine
robert e kass
robert e kass Carnegie Mellon University
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Daniel Kersten
Daniel Kersten University of Minnesota
John C. Gore
John C. Gore Vanderbilt University Medical Center
Pawel Skudlarski
Pawel Skudlarski Yale University
James W. Tanaka
James W. Tanaka University of Victoria

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These related online degrees offer flexible, affordable avenues to expand your expertise and career opportunities in interdisciplinary fields connected to neuroscience.

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