Benoît Rosa
Impact in
- Health Informatics top 10%
- Biomedical Engineering top 10%
- Soft Robotics and Applications
- Advanced Surface Polishing Techniques
- Optical Coherence Tomography Applications
Papers in
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- Soft Robotics and Applications 21
- Optical Coherence Tomography Applications 11
- Advanced Surface Polishing Techniques 4
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- Additive Manufacturing Materials and Processes 6
- Co-authors
- Pascal Mognol (7 shared papers)Jean-Yves Hascoët (5 shared papers)J. J. Alvarado‐Gil (5 shared papers)P. Quintana (4 shared papers)Pedro‐Luis Ardisson (4 shared papers)Jérôme Szewczyk (8 shared papers)J. M. Yáñez‐Limón (3 shared papers)Guillaume Morel (6 shared papers)
In The Last Decade
Benoît Rosa
61 papers receiving 946 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 20
- Biomedical Engineering 468
- Automotive Engineering 123
- Mechanical Engineering 288
- Biomaterials 91
Countries citing papers authored by Benoît Rosa
This map shows the geographic impact of Benoît Rosa'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 Benoît Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Rosa more than expected).
Fields of papers citing papers by Benoît Rosa
This network shows the impact of papers produced by Benoît Rosa. 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 Benoît Rosa. The network helps show where Benoît Rosa may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Rosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 139 | |
| 2 | 2019 | 117 | |
| 3 | 2011 | 82 | |
| 4 | 2023 | 45 | |
| 5 | 2012 | 39 | |
| 6 | 2016 | 36 | |
| 7 | 2014 | 30 | |
| 8 | 2023 | 28 | |
| 9 | 2014 | 25 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2014 | 24 | |
| 13 | 2021 | 22 | |
| 14 | 2021 | 20 | |
| 15 | 2011 | 19 | |
| 16 | 2006 | 18 | |
| 17 | 2014 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2015 | 15 | |
| 20 | 2023 | 14 |
About Benoît Rosa
Benoît Rosa is a scholar working on Biomedical Engineering, Mechanical Engineering, Surgery, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 65 papers that have together received 971 indexed citations. Recurring topics across this work include Soft Robotics and Applications (21 papers), Optical Coherence Tomography Applications (11 papers), Surgical Simulation and Training (7 papers), Additive Manufacturing Materials and Processes (6 papers), Laser Material Processing Techniques (6 papers), Robotics and Sensor-Based Localization (5 papers), Nanocomposite Films for Food Packaging (4 papers) and Advanced Surface Polishing Techniques (4 papers). The work is most often cited by research in Health Informatics (20 citations), Biomedical Engineering (468 citations), Automotive Engineering (123 citations), Mechanical Engineering (288 citations) and Biomaterials (91 citations). Benoît Rosa has collaborated with scholars based in France, Belgium and Italy. Frequent co-authors include Pascal Mognol, Jean-Yves Hascoët, J. J. Alvarado‐Gil, P. Quintana, Pedro‐Luis Ardisson, Jérôme Szewczyk, J. M. Yáñez‐Limón, Guillaume Morel, Pierre E. Dupont and Florent Nageotte. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Biomedical Engineering, International Journal of Computer Assisted Radiology and Surgery, Medical Image Analysis and International Journal of Manufacturing Research.
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.