Frédéric Gosselin
- Cognitive Neuroscience top 0.2%
- Experimental and Cognitive Psychology top 0.5%
- Nature and Landscape Conservation top 1%
- Computer Vision and Pattern Recognition top 0.5%
- Social Psychology top 1%
- Co-authors
- Philippe G. SchynsStéphane BarbierPhilippe BalandierDaniel FisetRalph AdolphsDaniel TranelPascal BelinAntónio R. Damásio
- Topics
- Face Recognition and Perception (71 papers)Visual perception and processing mechanisms (43 papers)Ecology and Vegetation Dynamics Studies (33 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyNature and Landscape Conservation
- Partner nations
- CanadaFranceUnited Kingdom
In The Last Decade
Frédéric Gosselin
206 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Cognitive Neuroscience 5.1k
- Experimental and Cognitive Psychology 2.3k
- Nature and Landscape Conservation 1.4k
- Computer Vision and Pattern Recognition 1.2k
- Social Psychology 1.0k
Countries citing papers authored by Frédéric Gosselin
This map shows the geographic impact of Frédéric Gosselin'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 Frédéric Gosselin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Gosselin more than expected).
Fields of papers citing papers by Frédéric Gosselin
This network shows the impact of papers produced by Frédéric Gosselin. 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 Frédéric Gosselin. The network helps show where Frédéric Gosselin may publish in the future.
Co-authorship network of co-authors of Frédéric Gosselin
This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Gosselin. A scholar is included among the top collaborators of Frédéric Gosselin 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 Frédéric Gosselin. Frédéric Gosselin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 55 | |
| 10 | 39 | |
| 11 | 47 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | An Empirical Evaluation of Fair-Division Algorithms | 5 |
| 19 | ACE: A Model of the Cognitive Strategies of a Contemporary Artist | 0 |
| 20 | Extinction in a simple source/sink system : application of new mathematical results | 10 |
About Frédéric Gosselin
Frédéric Gosselin is a scholar working on Cognitive Neuroscience, Nature and Landscape Conservation and Ecological Modeling, having authored 219 papers that have together received 8.8k indexed citations. Recurring topics across this work include Face Recognition and Perception (71 papers), Visual perception and processing mechanisms (43 papers) and Ecology and Vegetation Dynamics Studies (33 papers). The work is most often cited by research in Cognitive Neuroscience (5.1k citations), Experimental and Cognitive Psychology (2.3k citations) and Nature and Landscape Conservation (1.4k citations). Frédéric Gosselin has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Philippe G. Schyns, Stéphane Barbier, Philippe Balandier, Daniel Fiset, Ralph Adolphs, Daniel Tranel, Pascal Belin, António R. Damásio, Tony W. Buchanan and Verena Willenbockel. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.