Bruno Rossion
- Cognitive Neuroscience top 0.02%
- Experimental and Cognitive Psychology top 0.05%
- Computer Vision and Pattern Recognition top 0.1%
- Social Psychology top 0.5%
- Developmental and Educational Psychology top 0.5%
- Co-authors
- Corentin JacquesValérie GoffauxGilles PourtoisChristine SchiltzAdélaïde de HeeringL. GauthierMarc CrommelinckMichael J. Tarr
- Topics
- Face Recognition and Perception (287 papers)Visual perception and processing mechanisms (117 papers)Neural dynamics and brain function (79 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Bruno Rossion
325 papers receiving 20.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Cognitive Neuroscience 18.8k
- Experimental and Cognitive Psychology 7.2k
- Computer Vision and Pattern Recognition 4.5k
- Social Psychology 1.9k
- Developmental and Educational Psychology 1.4k
Countries citing papers authored by Bruno Rossion
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 16 | |
| 9 | 60 | |
| 10 | 17 | |
| 11 | 33 | |
| 12 | 29 | |
| 13 | 76 | |
| 14 | 48 | |
| 15 | 64 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 1 |
About Bruno Rossion
Bruno Rossion is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 339 papers that have together received 20.3k indexed citations. Recurring topics across this work include Face Recognition and Perception (287 papers), Visual perception and processing mechanisms (117 papers) and Neural dynamics and brain function (79 papers). The work is most often cited by research in Cognitive Neuroscience (18.8k citations), Experimental and Cognitive Psychology (7.2k citations) and Computer Vision and Pattern Recognition (4.5k citations). Bruno Rossion has collaborated with scholars based in Belgium, France and United States. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.