Vincent Perrot

22 papers receiving 400 citations

Peers

Vincent Perrot
Comparison fields: 5 of 49
  • Radiology, Nuclear Medicine and Imaging 215
  • Human-Computer Interaction 34
  • Biomedical Engineering 220
  • Mechanics of Materials 121
  • Critical Care and Intensive Care Medicine 7
Replace Haichong K. Zhang with:
Haichong K. Zhang United States
Jesper Mosegaard Denmark
Hamed Bouzari Denmark
Martin Hansen Germany
Ole Marius Hoel Rindal Norway
Walter Simson United States
Moein Mozaffarzadeh Iran
Mert Sedef Türkiye
R.E. Davidsen United States
Eduardo Tavares Costa Brazil
Vincent Perrot relative to Haichong K. Zhang United States Haichong K. Zhang's profile →
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Haichong K. Zhang · 1×
Citations per year

Countries citing papers authored by Vincent Perrot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Vincent Perrot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vincent Perrot Line = papers co-authored together Vincent Perrot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020224
2 202323
3 202118
4 202318
5 202416
6 200716
7 201814
8 202413
9 202013
10 201813
11 201311
12 20148
13 20145
14 20213
15 20173
16 20203
17 20222
18 20112
19 20171
20 20191

About Vincent Perrot

Vincent Perrot is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Human-Computer Interaction and Cognitive Neuroscience, having authored 23 papers that have together received 409 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (12 papers), Photoacoustic and Ultrasonic Imaging (10 papers), Cardiovascular Health and Disease Prevention (7 papers), Ultrasound and Hyperthermia Applications (4 papers), Advanced MRI Techniques and Applications (4 papers), Virtual Reality Applications and Impacts (3 papers), Tactile and Sensory Interactions (3 papers) and Sport Psychology and Performance (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (215 citations), Human-Computer Interaction (34 citations), Biomedical Engineering (220 citations), Mechanics of Materials (121 citations) and Critical Care and Intensive Care Medicine (7 citations). Vincent Perrot has collaborated with scholars based in France, Canada and Norway. Frequent co-authors include Damien Garcia, François Varray, Maxime Polichetti, Jonathan Porée, Jean Provost, Hervé Liebgott, Didier Vray, Daniël Thalmann, Daniel Mestre and Xiaoyue Jiang. Their work appears in journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Physics in Medicine and Biology, IEEE Transactions on Biomedical Engineering, Ultrasonics and IEEE Transactions on Medical Imaging.

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.

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