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Michael J. Tarr

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 63 3065 2822 1745 1571 193 21378
Neuroscience 67 2831 2587 1315 1181 233 23137
Computer Science 62 2862 2778 1415 1363 218 18286

Michael J. Tarr publications per year

The chart shows the history of publications by Michael J. Tarr between 1982 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michael J. Tarr published across 44 years, from 1982 to 2025, averaging 6.3 papers a year. Output peaked at 33 publications in 2010. 15 of the 275 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1982 to 2025. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2010. 1982: 1 publication 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 2 publications 1990: 2 publications 1991: 1 publication 1992: 2 publications 1993: 4 publications 1994: 6 publications 1995: 4 publications 1996: 2 publications 1997: 7 publications 1998: 8 publications 1999: 13 publications 2000: 7 publications 2001: 4 publications 2002: 7 publications 2003: 6 publications 2004: 9 publications 2005: 6 publications 2006: 7 publications 2007: 4 publications 2008: 8 publications 2009: 9 publications 2010: 33 publications 2011: 8 publications 2012: 10 publications 2013: 12 publications 2014: 7 publications 2015: 8 publications 2016: 9 publications 2017: 5 publications 2018: 9 publications 2019: 6 publications 2020: 0 publications 2021: 4 publications 2022: 13 publications 2023: 17 publications 2024: 9 publications 2025: 6 publications
1982 2025

275 publications in total across all disciplines

View publications per year as a table
Michael J. Tarr: publications per year, 1982 to 2025
Year Publications
1982 1
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 2
1990 2
1991 1
1992 2
1993 4
1994 6
1995 4
1996 2
1997 7
1998 8
1999 13
2000 7
2001 4
2002 7
2003 6
2004 9
2005 6
2006 7
2007 4
2008 8
2009 9
2010 33
2011 8
2012 10
2013 12
2014 7
2015 8
2016 9
2017 5
2018 9
2019 6
2020 0
2021 4
2022 13
2023 17
2024 9
2025 6
Total 275
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 228–237 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220 233
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 66–67 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239 67
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

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

External Links

Wikipedia of Michael J. Tarr Personal website of Michael J. Tarr Google Scholar page

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Related Online Degrees & Career Pathways

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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.

Best Scientists Citing Michael J. Tarr

Bruno Rossion

Bruno Rossion

University of Lorraine

Publications: 153

Isabel Gauthier

Isabel Gauthier

Vanderbilt University

Publications: 106

Marlene Behrmann

Marlene Behrmann

Carnegie Mellon University

Publications: 92

Heinrich H. Bülthoff

Heinrich H. Bülthoff

Max Planck Institute for Biological Cybernetics

Publications: 74

James W. Tanaka

James W. Tanaka

University of Victoria

Publications: 53

Gyula Kovács

Gyula Kovács

Friedrich Schiller University Jena

Publications: 50

Kang Lee

Kang Lee

University of Toronto

Publications: 49

Stefan R. Schweinberger

Stefan R. Schweinberger

Friedrich Schiller University Jena

Publications: 45

Hans Op de Beeck

Hans Op de Beeck

Allen Institute for Brain Science

Publications: 42

Kalanit Grill-Spector

Kalanit Grill-Spector

Stanford University

Publications: 39

Jason J. S. Barton

Jason J. S. Barton

University of British Columbia

Publications: 37

Paul C. Quinn

Paul C. Quinn

University of Delaware

Publications: 36

Shlomo Bentin

Shlomo Bentin

Hebrew University of Jerusalem

Publications: 34

Philippe G. Schyns

Philippe G. Schyns

University of Glasgow

Publications: 34

Bradley Duchaine

Bradley Duchaine

Dartmouth College

Publications: 32

Tomaso Poggio

Tomaso Poggio

MIT

Publications: 31

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