World's Best Scientists 2026 revealed!
Frédéric Gosselin

Frédéric Gosselin

D-Index & Metrics

Psychology

D-Index
44
Citations
10992
World Ranking
6857
National Ranking
461

Frédéric Gosselin 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 Frédéric Gosselin 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: 238 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Frédéric Gosselin 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 Frédéric Gosselin 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: 44 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Frédéric Gosselin is affiliated with the University of Montreal in Canada, with a research focus spanning neuroscience and environmental studies. Their work covers a variety of fields and subfields including Neuroscience, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Nature and Landscape Conservation, Global and Planetary Change, and Experimental and Cognitive Psychology.

Their main research topics include:

  • Face Recognition and Perception
  • Visual perception and processing mechanisms
  • Neural dynamics and brain function
  • Forest Ecology and Biodiversity Studies
  • Forest Management and Policy
  • Ecology and Vegetation Dynamics Studies
  • Face recognition and analysis

Gosselin has contributed to several peer-reviewed publications. Notably, they co-authored the 2021 paper titled On the time lag between human activity and biodiversity in Europe at the national scale published in Anthropocene. Other important papers in related collaborative research included:

  • Where are we now with European forest multi-taxon biodiversity and where can we head to? (2023, Biological Conservation)
  • Stand attributes or soil micro-environment exert greater influence than management type on understory plant diversity in even-aged oak high forests (2020, Forest Ecology and Management)
  • Effects of stand structure and ungulates on understory vegetation in managed and unmanaged forests (2022, Ecological Applications)
  • Overstory and niche attributes drive understory biomass production in three types of subtropical plantations (2020, Forest Ecology and Management)

The frequent co-authors collaborating with Gosselin include Ian Charest, Marion Gosselin, Simon Faghel-Soubeyrand, Laurent Caplette, and Yoan Paillet.

Gosselin's work has been published in various academic venues with notable recurring publications in the Journal of Vision, which accounts for 25 of their works. Other venues include Forest Ecology and Management, bioRxiv (Cold Spring Harbor Laboratory), Biological Conservation, and NeuroImage.

Beyond journal articles, Gosselin has contributed to book publications, including a title published by the Centre National de la Recherche Scientifique: L'avenir du vivant. Nos valeurs pour l'action (2021).

Best Publications

  • A mechanism for impaired fear recognition after amygdala damage

    Ralph Adolphs;Ralph Adolphs;Frederic Gosselin;Tony W. Buchanan;Daniel Tranel

  • Controlling low-level image properties: the SHINE toolbox.

    Verena Willenbockel;Javid Sadr;Daniel Fiset;Greg O. Horne

  • Bubbles: a technique to reveal the use of information in recognition tasks

    Frédéric Gosselin;Philippe G. Schyns

  • Show Me the Features! Understanding Recognition From the Use of Visual Information

    Philippe G. Schyns;Lizann Bonnar;Frédéric Gosselin

  • The Montreal Affective Voices: a validated set of nonverbal affect bursts for research on auditory affective processing.

    Pascal Belin;Sarah Fillion-Bilodeau;Frédéric Gosselin

  • Audio-visual integration of emotion expression.

    Olivier Collignon;Simon Girard;Frederic Gosselin;Sylvain Roy

  • Recognition and discrimination of prototypical dynamic expressions of pain and emotions.

    Daniela Simon;Kenneth D. Craig;Frederic Gosselin;Pascal Belin

  • Superstitious Perceptions Reveal Properties of Internal Representations

    Frédéric Gosselin;Philippe G. Schyns

  • Accurate statistical tests for smooth classification images.

    Alan Chauvin;Keith J Worsley;Philippe G Schyns;Martin Arguin

  • Women process multisensory emotion expressions more efficiently than men

    Olivier Collignon;S Girard;Frédéric Gosselin;D Saint-Amour

  • Does Prosopagnosia Take the Eyes Out of Face Representations? Evidence for a Defect in Representing Diagnostic Facial Information following Brain Damage

    Roberto Caldara;Philippe Schyns;Eugène Mayer;Marie L. Smith

  • Spatio‐temporal dynamics of face recognition in a flash: it's in the eyes

    Céline Vinette;Frédéric Gosselin;Philippe G. Schyns

  • The eyes are not the window to basic emotions

    Caroline Blais;Cynthia Roy;Daniel Fiset;Martin Arguin

  • Features for Identification of Uppercase and Lowercase Letters

    Daniel Fiset;Caroline Blais;Catherine Éthier-Majcher;Martin Arguin

  • Receptive Fields for Flexible Face Categorizations

    Marie L. Smith;Frédéric Gosselin;Philippe G. Schyns

  • A principled method for determining the functionality of brain responses.

    Philippe G Schyns;Ines Jentzsch;Mark Johnson;Stefan R Schweinberger

  • Measuring internal representations from behavioral and brain data.

    Marie L. Smith;Frédéric Gosselin;Philippe G. Schyns

  • Does face inversion change spatial frequency tuning

    Verena Willenbockel;Daniel Fiset;Alan Chauvin;Caroline Blais

  • How Do Schizophrenia Patients Use Visual Information to Decode Facial Emotion

    Junghee Lee;Frédéric Gosselin;Jonathan K. Wynn;Michael F. Green

  • The use of visual information in natural scenes

    Maxine McCotter;Frederic Gosselin;Paul Sowden;Philippe Schyns

  • Greater reliance on the eye region predicts better face recognition ability

    Jessica Royer;Caroline Blais;Isabelle Charbonneau;Karine Déry

Frequent Co-Authors

Philippe G. Schyns
Philippe G. Schyns University of Glasgow
Martin Arguin
Martin Arguin University of Montreal
Daniel N. Bub
Daniel N. Bub University of Victoria
Franco Lepore
Franco Lepore University of Montreal
Bruno Rossion
Bruno Rossion University of Lorraine
Ralph Adolphs
Ralph Adolphs California Institute of Technology
Pierre Rainville
Pierre Rainville University of Montreal
Edward A. Wasserman
Edward A. Wasserman University of Iowa
James W. Tanaka
James W. Tanaka University of Victoria
Karim Jerbi
Karim Jerbi University of Montreal

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