World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
72
Citations
26264
World Ranking
2028
National Ranking
1181

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.

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 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.

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.

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 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.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in psychology opens up multiple online education and career pathways, especially in the field of social work. Social worker roles typically require specific educational credentials, which vary by state. For example, in Iowa, prospective social workers should be aware of the Iowa education requirements for social workers, which detail the minimum degree and licensure needed to practice.

Similar education pathways exist in other states. You can review the social worker education requirements in Kansas to better understand their standards. In Kentucky, those interested in a social work career should familiarize themselves with the Kentucky minimum degree requirement for social workers.

Additionally, requirements often include state-specific licensure and field experience. In Louisiana, for instance, you can review the degree needed to be a social worker in Louisiana for guidance. These resources can help you assess which online psychology or social work degree best matches your career goals and location.

Best Scientists Citing Isabel Gauthier

Trending Scientists

Recently Published Articles