Vincent Perrot
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Mechanics of Materials top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Damien GarciaFrançois VarrayMaxime PolichettiJean ProvostJonathan PoréeHervé LiebgottDidier VrayFrédéric Lesage
- Topics
- Ultrasound Imaging and Elastography (14 papers)Photoacoustic and Ultrasonic Imaging (11 papers)Cardiovascular Health and Disease Prevention (8 papers)
In The Last Decade
Vincent Perrot
21 papers receiving 351 citations
Peers
Comparison fields: 5 of 46
- Biomedical Engineering 222
- Radiology, Nuclear Medicine and Imaging 218
- Mechanics of Materials 120
- Electrical and Electronic Engineering 30
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Vincent Perrot
This map shows the geographic impact of Vincent Perrot'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 Vincent Perrot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Perrot more than expected).
Fields of papers citing papers by Vincent Perrot
This network shows the impact of papers produced by Vincent Perrot. 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 Vincent Perrot. The network helps show where Vincent Perrot may publish in the future.
Co-authorship network of co-authors of Vincent Perrot
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Perrot. A scholar is included among the top collaborators of Vincent Perrot 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 Vincent Perrot. Vincent Perrot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 11 | |
| 3 | 21 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 206 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 10 |
About Vincent Perrot
Vincent Perrot is a scholar working on Radiology, Nuclear Medicine and Imaging, Human-Computer Interaction and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 361 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (14 papers), Photoacoustic and Ultrasonic Imaging (11 papers) and Cardiovascular Health and Disease Prevention (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (218 citations), Biomedical Engineering (222 citations) and Mechanics of Materials (120 citations). Vincent Perrot has collaborated with scholars based in France, Canada and Norway. Frequent co-authors include Damien Garcia, François Varray, Maxime Polichetti, Jean Provost, Jonathan Porée, Hervé Liebgott, Didier Vray, Frédéric Lesage, Éric Martineau and Ravi L. Rungta. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.
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.