Nicolas Martin
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Cognitive Neuroscience
- Biomedical Engineering
- Social Psychology
- Co-authors
- Sébastien RoyVincent CoutureFerran ArgelaguetMartin RagotAnatole LécuyerNico PallaminCristina StoicaSihem Tebbani
- Topics
- Advanced Vision and Imaging (5 papers)Virtual Reality Applications and Impacts (5 papers)Human-Automation Interaction and Safety (3 papers)
In The Last Decade
Nicolas Martin
16 papers receiving 216 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 97
- Human-Computer Interaction 62
- Cognitive Neuroscience 37
- Biomedical Engineering 33
- Social Psychology 33
Countries citing papers authored by Nicolas Martin
This map shows the geographic impact of Nicolas Martin'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 Nicolas Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Martin more than expected).
Fields of papers citing papers by Nicolas Martin
This network shows the impact of papers produced by Nicolas Martin. 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 Nicolas Martin. The network helps show where Nicolas Martin may publish in the future.
Co-authorship network of co-authors of Nicolas Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Martin. A scholar is included among the top collaborators of Nicolas Martin 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 Nicolas Martin. Nicolas Martin 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 | 2 | |
| 3 | 19 | |
| 4 | 26 | |
| 5 | 32 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 25 | |
| 9 | 15 | |
| 10 | 19 | |
| 11 | Automatic recognition of Virtual Reality sickness based on physiological signals | 7 |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 37 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Biologically inspired eye movements for visually guided navigation of mobile robots. | 2 |
About Nicolas Martin
Nicolas Martin is a scholar working on Human-Computer Interaction, General Dentistry and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 225 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Virtual Reality Applications and Impacts (5 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Human-Computer Interaction (62 citations), Instrumentation (18 citations) and Computer Vision and Pattern Recognition (97 citations). Nicolas Martin has collaborated with scholars based in France and Canada. Frequent co-authors include Sébastien Roy, Vincent Couture, Ferran Argelaguet, Martin Ragot, Anatole Lécuyer, Nico Pallamin, Cristina Stoica, Sihem Tebbani, Laurent Launay and Pierre Jannin. Their work appears in journals such as SLEEP, International Journal of Computer Vision and IEEE Transactions on Visualization and Computer Graphics.
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.