Antoine Coutrot
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 2%
- Experimental and Cognitive Psychology top 5%
- Human-Computer Interaction top 2%
- Co-authors
- Hugo J. SpiersMichael HornbergerNathalie GuyaderJan WienerRuth DaltonChristoph HölscherAntoni B. ChanJanet H. Hsiao
- Topics
- Visual Attention and Saliency Detection (19 papers)Spatial Cognition and Navigation (18 papers)Olfactory and Sensory Function Studies (10 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Antoine Coutrot
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Cognitive Neuroscience 385
- Computer Vision and Pattern Recognition 357
- Automotive Engineering 348
- Experimental and Cognitive Psychology 280
- Human-Computer Interaction 203
Countries citing papers authored by Antoine Coutrot
This map shows the geographic impact of Antoine Coutrot'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 Antoine Coutrot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Coutrot more than expected).
Fields of papers citing papers by Antoine Coutrot
This network shows the impact of papers produced by Antoine Coutrot. 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 Antoine Coutrot. The network helps show where Antoine Coutrot may publish in the future.
Co-authorship network of co-authors of Antoine Coutrot
This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Coutrot. A scholar is included among the top collaborators of Antoine Coutrot 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 Antoine Coutrot. Antoine Coutrot 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 | 6 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 37 | |
| 14 | 107 | |
| 15 | 20 | |
| 16 | 62 | |
| 17 | 3 | |
| 18 | 22 | |
| 19 | 92 | |
| 20 | 43 |
About Antoine Coutrot
Antoine Coutrot is a scholar working on Sensory Systems, Automotive Engineering and Human-Computer Interaction, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (19 papers), Spatial Cognition and Navigation (18 papers) and Olfactory and Sensory Function Studies (10 papers). The work is most often cited by research in Human-Computer Interaction (203 citations), Automotive Engineering (348 citations) and Experimental and Cognitive Psychology (280 citations). Antoine Coutrot has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Hugo J. Spiers, Michael Hornberger, Nathalie Guyader, Jan Wiener, Ruth Dalton, Christoph Hölscher, Antoni B. Chan, Janet H. Hsiao, Ed Manley and Olivier Le Meur. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.