Adrien Besson

33 papers receiving 319 citations

Peers

Adrien Besson
Comparison fields: 5 of 26
  • Radiology, Nuclear Medicine and Imaging 226
  • Biomedical Engineering 166
  • Health Informatics 9
  • Computer Vision and Pattern Recognition 80
  • Computational Mechanics 61
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Jean-Luc Robert United States
Jaeyoung Huh South Korea
Noam Wagner Israel
Matthieu E. G. Toulemonde United Kingdom
Jingfeng Lu China
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Citations per year

Countries citing papers authored by Adrien Besson

Since Specialization
Citations

This map shows the geographic impact of Adrien Besson'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 Adrien Besson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrien Besson more than expected).

Fields of papers citing papers by Adrien Besson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrien Besson. 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 Adrien Besson. The network helps show where Adrien Besson may publish in the future.

Co-authors

The 23 scholars most cited alongside Adrien Besson, 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 Adrien Besson Line = papers co-authored together Adrien Besson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201740
2 201636
3 201734
4 201834
5 201630
6 201625
7 202025
8 201920
9 202313
10 201711
11 201510
12 20175
13 20195
14 20164
15 20254
16 20153
17 20163
18 20173
19 20183
20 20183

About Adrien Besson

Adrien Besson is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computational Mechanics, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 36 papers that have together received 326 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (28 papers), Photoacoustic and Ultrasonic Imaging (15 papers), Sparse and Compressive Sensing Techniques (10 papers), Microwave Imaging and Scattering Analysis (6 papers), Image and Signal Denoising Methods (6 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Numerical methods in inverse problems (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (226 citations), Biomedical Engineering (166 citations), Health Informatics (9 citations), Computer Vision and Pattern Recognition (80 citations) and Computational Mechanics (61 citations). Adrien Besson has collaborated with scholars based in Switzerland, United Kingdom and France. Frequent co-authors include Jean‐Philippe Thiran, Marcel Arditi, Yves Wiaux, Rafael E. Carrillo, Olivier Bernard, Paul Hurley, Denis P. Friboulet, Hervé Liebgott, François Varray and Martin Vetterli. Their work appears in journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, IEEE Transactions on Computational Imaging, Journal of Hepatology, IEEE Transactions on Signal Processing 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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