World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 72 2028 1839 1181 1046 273 26264

Isabel Gauthier publications per year

The chart shows the history of publications by Isabel Gauthier between 1994 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Isabel Gauthier published across 28 years, from 1994 to 2021, averaging 9.4 papers a year. Output peaked at 45 publications in 2010. 18 of the 263 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1994 to 2021. Vertical axis: number of publications, 0 to 45. Peak 45 publications in 2010. 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 4 publications 1998: 4 publications 1999: 4 publications 2000: 10 publications 2001: 2 publications 2002: 9 publications 2003: 5 publications 2004: 11 publications 2005: 7 publications 2006: 6 publications 2007: 8 publications 2008: 5 publications 2009: 15 publications 2010: 45 publications 2011: 16 publications 2012: 12 publications 2013: 9 publications 2014: 20 publications 2015: 13 publications 2016: 11 publications 2017: 13 publications 2018: 10 publications 2019: 5 publications 2020: 9 publications 2021: 9 publications
1994 2021

263 publications in total across all disciplines

View publications per year as a table
Isabel Gauthier: publications per year, 1994 to 2021
Year Publications
1994 1
1995 0
1996 0
1997 4
1998 4
1999 4
2000 10
2001 2
2002 9
2003 5
2004 11
2005 7
2006 6
2007 8
2008 5
2009 15
2010 45
2011 16
2012 12
2013 9
2014 20
2015 13
2016 11
2017 13
2018 10
2019 5
2020 9
2021 9
Total 263
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Isabel Gauthier publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Isabel Gauthier sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 69 bars. Horizontal axis: publications, 31–40 to 705+. Vertical axis: number of scientists, 0 to 736. Most scientists, 736, have 101–110 publications. The last bar groups every scientist with 705 publications or more. The highlighted bar, 271–280 publications, is where this scientist sits. 31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31–40 publications 705+

This scientist: 273 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

View publications distribution as a table
Number of Psychology scientists by publication count, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
Publications Scientists This scientist
31–40 6
41–50 52
51–60 138
61–70 299
71–80 461
81–90 605
91–100 713
101–110 736
111–120 686
121–130 670
131–140 644
141–150 597
151–160 576
161–170 477
171–180 450
181–190 397
191–200 343
201–210 328
211–220 313
221–230 283
231–240 226
241–250 196
251–260 201
261–270 171
271–280 151 273
281–290 139
291–300 113
301–310 102
311–320 100
321–330 76
331–340 92
341–350 85
351–360 69
361–370 71
371–380 63
381–390 58
391–400 57
401–410 43
411–420 33
421–430 50
431–440 41
441–450 32
451–460 27
461–470 28
471–480 25
481–490 28
491–500 20
501–510 23
511–520 26
521–530 17
531–540 21
541–550 14
551–560 16
561–570 10
571–580 22
581–590 9
591–600 14
601–610 9
611–620 11
621–630 4
631–640 7
641–650 5
651–660 10
661–670 8
671–680 8
681–690 4
691–700 3
701–704 4
705+ 100
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Isabel Gauthier D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Isabel Gauthier sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 58 bars. Horizontal axis: D-Index, 30–31 to 144+. Vertical axis: number of scientists, 0 to 702. Most scientists, 702, have 32–33 D-Index. The last bar groups every scientist with 144 D-Index or more. The highlighted bar, 72–73 D-Index, is where this scientist sits. 30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30–31 D-Index 144+

This scientist: 72 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

View D-Index distribution as a table
Number of Psychology scientists by D-index, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
D-Index Scientists This scientist
30–31 398
32–33 702
34–35 671
36–37 659
38–39 641
40–41 671
42–43 617
44–45 558
46–47 495
48–49 487
50–51 445
52–53 390
54–55 408
56–57 345
58–59 325
60–61 321
62–63 248
64–65 290
66–67 218
68–69 219
70–71 215
72–73 183 72
74–75 169
76–77 132
78–79 137
80–81 120
82–83 112
84–85 86
86–87 101
88–89 83
90–91 77
92–93 70
94–95 78
96–97 58
98–99 53
100–101 57
102–103 48
104–105 53
106–107 46
108–109 24
110–111 35
112–113 27
114–115 32
116–117 31
118–119 22
120–121 16
122–123 24
124–125 18
126–127 11
128–129 19
130–131 10
132–133 16
134–135 10
136–137 12
138–139 8
140–141 5
142–143 12
144+ 98
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Research.com Recognitions

  • 2008 - Troland Research Awards, United States National Academy of Sciences For seminal experiments on the role of visual expertise in the recognition of complex objects including faces and for exploration of brain areas activated by this recognition.

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Cognition
  • Perception

Her main research concerns Cognitive psychology, Perception, Communication, Face perception and Cognitive neuroscience of visual object recognition. Her Cognitive psychology research includes elements of Face, Face, Fusiform gyrus and Fusiform face area. Her Perception research incorporates elements of Facial recognition system, Cognitive science, Neuropsychology and Information processing.

Her study in Communication is interdisciplinary in nature, drawing from both Object, Artificial intelligence, Form perception, Scalp and Neuroscience. Her Face perception study integrates concerns from other disciplines, such as Context, Functional magnetic resonance imaging, Task and Asperger syndrome. The Cognitive neuroscience of visual object recognition study combines topics in areas such as Short-term memory and Brain activity and meditation.

Her most cited work include:

  • Expertise for cars and birds recruits brain areas involved in face recognition (1110 citations)
  • Activation of the middle fusiform 'face area' increases with expertise in recognizing novel objects. (1015 citations)
  • Abnormal ventral temporal cortical activity during face discrimination among individuals with autism and Asperger syndrome. (836 citations)

What are the main themes of her work throughout her whole career to date?

Isabel Gauthier mainly focuses on Cognitive psychology, Perception, Cognitive neuroscience of visual object recognition, Artificial intelligence and Communication. She has researched Cognitive psychology in several fields, including Social psychology, Face perception, Task, Cognition and Visual perception. Face perception is closely attributed to Face in her research.

She focuses mostly in the field of Perception, narrowing it down to topics relating to Categorization and, in certain cases, Concept learning. The various areas that she examines in her Cognitive neuroscience of visual object recognition study include Facial recognition system, Form perception, Mental rotation and Contrast. Her Communication research integrates issues from Stimulus and Object.

She most often published in these fields:

  • Cognitive psychology (54.44%)
  • Perception (38.22%)
  • Cognitive neuroscience of visual object recognition (25.48%)

What were the highlights of her more recent work (between 2016-2021)?

  • Cognitive neuroscience of visual object recognition (25.48%)
  • Cognitive psychology (54.44%)
  • Artificial intelligence (21.62%)

In recent papers she was focusing on the following fields of study:

Her primary areas of investigation include Cognitive neuroscience of visual object recognition, Cognitive psychology, Artificial intelligence, Facial recognition system and Perception. Her research investigates the link between Cognitive neuroscience of visual object recognition and topics such as Speech recognition that cross with problems in Bayesian statistics and Face identity. Her Cognitive psychology research is multidisciplinary, relying on both Selective attention, Object, Face and Association.

Her biological study spans a wide range of topics, including Social psychology, Task and Visual learning. Her work focuses on many connections between Facial recognition system and other disciplines, such as Thick cortex, that overlap with her field of interest in Anatomy. Her Perception research includes themes of Cognitive science and Medical imaging.

Between 2016 and 2021, her most popular works were:

  • General object recognition is specific: Evidence from novel and familiar objects. (36 citations)
  • The Role of Experience in the Face-Selective Response in Right FFA. (16 citations)
  • Limited evidence of individual differences in holistic processing in different versions of the part-whole paradigm (11 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Cognition
  • Neuroscience

The scientist’s investigation covers issues in Cognitive neuroscience of visual object recognition, Cognitive psychology, Face, Facial recognition system and Variance. The study incorporates disciplines such as Dissociation, Speech recognition, Selective attention and Face perception in addition to Cognitive neuroscience of visual object recognition. In most of her Cognitive psychology studies, her work intersects topics such as Association.

Her Face research is multidisciplinary, relying on both Memory test, Machine learning and Task. Her Facial recognition system research includes themes of Developmental psychology and Social psychology. The various areas that Isabel Gauthier examines in her Artificial intelligence study include Relevance, Experimental psychology and Perception.

Best Publications

  • Expertise for cars and birds recruits brain areas involved in face recognition

    Isabel Gauthier;Pawel Skudlarski;John C. Gore;Adam W. Anderson

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

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

  • Abnormal ventral temporal cortical activity during face discrimination among individuals with autism and Asperger syndrome.

    Robert T. Schultz;Isabel Gauthier;Ami Klin;Robert K. Fulbright

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

    Isabel Gauthier;Michael J. Tarr

  • 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

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

    Michael J. Tarr;Isabel Gauthier

  • Social interest and the development of cortical face specialization: what autism teaches us about face processing.

    David J. Grelotti;Isabel Gauthier;Robert T. Schultz

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

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

  • Perceptual interference supports a non-modular account of face processing

    Isabel Gauthier;Tim Curran;Kim M. Curby;Daniel Collins

  • How does the brain process upright and inverted faces

    Bruno Rossion;Isabel Gauthier

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

    Isabel Gauthier;Michael J. Tarr

  • Visual object understanding

    Thomas J. Palmeri;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

  • Holistic Processing Predicts Face Recognition

    Jennifer J. Richler;Olivia S. Cheung;Isabel Gauthier

  • The development of face expertise.

    Isabel Gauthier;Charles A Nelson

  • A meta-analysis and review of holistic face processing.

    Jennifer J. Richler;Isabel Gauthier

  • fMRI activation of the fusiform gyrus and amygdala to cartoon characters but not to faces in a boy with autism.

    David J. Grelotti;Ami J. Klin;Isabel Gauthier;Pawel Skudlarski

  • Levels of categorization in visual recognition studied using functional magnetic resonance imaging

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

  • 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

Thomas J. Palmeri
Thomas J. Palmeri Vanderbilt University
Michael J. Tarr
Michael J. Tarr Carnegie Mellon University
John C. Gore
John C. Gore Vanderbilt University Medical Center
Thomas W. James
Thomas W. James Indiana University
Pawel Skudlarski
Pawel Skudlarski Yale University
James W. Tanaka
James W. Tanaka University of Victoria
Bruno Rossion
Bruno Rossion University of Lorraine
Daniel N. Bub
Daniel N. Bub University of Victoria
Marlene Behrmann
Marlene Behrmann Carnegie Mellon University
Andrew J. Tomarken
Andrew J. Tomarken Vanderbilt University

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