Bruno Rossion

27.7k total citations · 6 hit papers
339 papers, 20.3k citations indexed

About

Bruno Rossion is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bruno Rossion has authored 339 papers receiving a total of 20.3k indexed citations (citations by other indexed papers that have themselves been cited), including 325 papers in Cognitive Neuroscience, 104 papers in Experimental and Cognitive Psychology and 94 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bruno Rossion's work include Face Recognition and Perception (287 papers), Visual perception and processing mechanisms (117 papers) and Neural dynamics and brain function (79 papers). Bruno Rossion is often cited by papers focused on Face Recognition and Perception (287 papers), Visual perception and processing mechanisms (117 papers) and Neural dynamics and brain function (79 papers). Bruno Rossion collaborates with scholars based in Belgium, France and United States. Bruno Rossion's co-authors include Corentin Jacques, Valérie Goffaux, Gilles Pourtois, Christine Schiltz, Adélaïde de Heering, L. Gauthier, Marc Crommelinck, Michael J. Tarr, Roberto Caldara and Anthony M. Norcia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Bruno Rossion

325 papers receiving 20.0k citations

Hit Papers

The steady-state visual evoked poten... 2000 2026 2008 2017 2015 2004 2003 2000 2003 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bruno Rossion Belgium 75 18.8k 7.2k 4.5k 1.9k 1.4k 339 20.3k
Marvin M. Chun United States 73 24.0k 1.3× 6.1k 0.9× 2.5k 0.6× 2.4k 1.3× 2.0k 1.4× 169 26.8k
L. Gauthier United States 59 13.6k 0.7× 5.2k 0.7× 3.4k 0.8× 1.7k 0.9× 2.0k 1.4× 243 15.5k
Marlene Behrmann United States 72 15.3k 0.8× 3.2k 0.5× 2.3k 0.5× 1.6k 0.9× 2.6k 1.9× 325 17.2k
Jon Driver United Kingdom 87 19.6k 1.0× 5.8k 0.8× 1.8k 0.4× 2.7k 1.4× 1.5k 1.1× 185 22.1k
Philippe G. Schyns United Kingdom 53 10.1k 0.5× 4.2k 0.6× 2.5k 0.6× 2.1k 1.1× 950 0.7× 180 13.0k
Shlomo Bentin Israel 59 13.8k 0.7× 4.5k 0.6× 1.4k 0.3× 2.3k 1.2× 3.7k 2.7× 170 16.1k
Ken Nakayama United States 68 13.0k 0.7× 3.3k 0.5× 3.2k 0.7× 1.8k 0.9× 739 0.5× 142 15.3k
Rafael Malach Israel 70 20.7k 1.1× 3.5k 0.5× 1.6k 0.4× 2.0k 1.1× 921 0.7× 181 22.9k
Daphne Maurer Canada 52 8.9k 0.5× 4.6k 0.6× 1.9k 0.4× 1.4k 0.7× 1.5k 1.1× 211 11.2k
Kalanit Grill‐Spector United States 49 12.9k 0.7× 2.5k 0.4× 1.8k 0.4× 1.5k 0.8× 906 0.6× 128 14.2k

Countries citing papers authored by Bruno Rossion

Since Specialization
Citations

This map shows the geographic impact of Bruno Rossion's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bruno Rossion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Rossion more than expected).

Fields of papers citing papers by Bruno Rossion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Rossion. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bruno Rossion. The network helps show where Bruno Rossion may publish in the future.

Co-authorship network of co-authors of Bruno Rossion

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Rossion. A scholar is included among the top collaborators of Bruno Rossion based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bruno Rossion. Bruno Rossion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Ossandón, José, et al.. (2025). Impaired rapid neural face categorization after reversing long-lasting congenital blindness. Cortex. 187. 124–139. 1 indexed citations
3.
Maillard, Louis, et al.. (2025). Transcranial direct current stimulation neuromodulates intracranial cognitive evoked activity in humans. Proceedings of the National Academy of Sciences. 122(23). e2416541122–e2416541122. 1 indexed citations
7.
Rösler, Frank, et al.. (2022). Developmental experiences alter the temporal processing characteristics of the visual cortex: Evidence from deaf and hearing native signers. European Journal of Neuroscience. 55(6). 1629–1644. 6 indexed citations
8.
Jonas, Jacques & Bruno Rossion. (2021). Intracerebral electrical stimulation to understand the neural basis of human face identity recognition. European Journal of Neuroscience. 54(1). 4197–4211. 16 indexed citations
9.
Rossion, Bruno, Talia L. Retter, & Joan Liu‐Shuang. (2020). Understanding human individuation of unfamiliar faces with oddball fast periodic visual stimulation and electroencephalography. European Journal of Neuroscience. 52(10). 4283–4344. 60 indexed citations
10.
Vettori, Sofie, Stephanie Van der Donck, Jannes Nys, et al.. (2020). Combined frequency-tagging EEG and eye-tracking measures provide no support for the “excess mouth/diminished eye attention” hypothesis in autism. Molecular Autism. 11(1). 94–94. 17 indexed citations
11.
Vettori, Sofie, Milena Dzhelyova, Stephanie Van der Donck, et al.. (2019). Combined frequency-tagging EEG and eye tracking reveal reduced social bias in boys with autism spectrum disorder. Cortex. 125. 135–148. 33 indexed citations
12.
Donck, Stephanie Van der, Milena Dzhelyova, Sofie Vettori, et al.. (2019). Fast Periodic Visual Stimulation EEG Reveals Reduced Neural Sensitivity to Fearful Faces in Children with Autism. Journal of Autism and Developmental Disorders. 49(11). 4658–4673. 29 indexed citations
13.
Lochy, Aliette, Corentin Jacques, Louis Maillard, et al.. (2018). Selective visual representation of letters and words in the left ventral occipito-temporal cortex with intracerebral recordings. Proceedings of the National Academy of Sciences. 115(32). E7595–E7604. 76 indexed citations
14.
Rossion, Bruno, Corentin Jacques, & Jacques Jonas. (2018). Mapping face categorization in the human ventral occipitotemporal cortex with direct neural intracranial recordings. Annals of the New York Academy of Sciences. 1426(1). 5–24. 48 indexed citations
15.
Benetti, Stefania, Markus J. van Ackeren, Mohamed Rezk, et al.. (2017). Functional selectivity for face processing in the temporal voice area of early deaf individuals. Proceedings of the National Academy of Sciences. 114(31). E6437–E6446. 64 indexed citations
16.
Dormal, Giulia, F. Leporé, Mona Harissi‐Dagher, et al.. (2012). Recovering sight in adulthood leads to rapid neurofunctional reorganization of visual functions. Journal of Vision. 12(9). 1279–1279. 5 indexed citations
17.
Belle, Goedele Van, et al.. (2012). Reduction of the perceptual field for inverted faces:evidence from gaze contingency with full view stimuli. Journal of Vision. 12(9). 625–625. 1 indexed citations
18.
Rossion, Bruno, et al.. (2011). The composite face illusion and its disappearance with misaligned faces: An effect of metric distance or part separation?. Journal of Vision. 11(11). 617–617. 2 indexed citations
20.
Busigny, Thomas, Markus Graf, Emeran A. Mayer, & Bruno Rossion. (2010). Acquired prosopagnosia as a face-specific disorder: Ruling out the visual similarity hypothesis. Journal of Vision. 10(7). 595–595. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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