Stéphanie Bricq
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 10%
- Physiology
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Co-authors
- Alain LalandePaul M. WalkerFrançois BrunotteC. ColletJean‐Paul ArmspachSylvain DurandPhilippe RousseauGeorges Lefthériotis
- Topics
- Advanced MRI Techniques and Applications (8 papers)Medical Imaging Techniques and Applications (7 papers)Medical Image Segmentation Techniques (7 papers)
- Partner nations
- FranceUnited StatesIndonesia
In The Last Decade
Stéphanie Bricq
23 papers receiving 501 citations
Peers
Comparison fields: 5 of 90
- Radiology, Nuclear Medicine and Imaging 337
- Computer Vision and Pattern Recognition 97
- Physiology 92
- Biomedical Engineering 58
- Cardiology and Cardiovascular Medicine 52
Countries citing papers authored by Stéphanie Bricq
This map shows the geographic impact of Stéphanie Bricq'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 Stéphanie Bricq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphanie Bricq more than expected).
Fields of papers citing papers by Stéphanie Bricq
This network shows the impact of papers produced by Stéphanie Bricq. 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 Stéphanie Bricq. The network helps show where Stéphanie Bricq may publish in the future.
Co-authorship network of co-authors of Stéphanie Bricq
This figure shows the co-authorship network connecting the top 25 collaborators of Stéphanie Bricq. A scholar is included among the top collaborators of Stéphanie Bricq 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 Stéphanie Bricq. Stéphanie Bricq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 12 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 199 | |
| 12 | 18 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 85 | |
| 18 | 65 | |
| 19 | 14 | |
| 20 | 8 |
About Stéphanie Bricq
Stéphanie Bricq is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 25 papers that have together received 513 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (7 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (337 citations), Neurology (40 citations) and Computer Vision and Pattern Recognition (97 citations). Stéphanie Bricq has collaborated with scholars based in France, United States and Indonesia. Frequent co-authors include Alain Lalande, Paul M. Walker, François Brunotte, C. Collet, Jean‐Paul Armspach, Sylvain Durand, Philippe Rousseau, Georges Lefthériotis, Pierre Abraham and Fabrice Mériaudeau. Their work appears in journals such as PLoS ONE, Sensors and Journal of Magnetic Resonance 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.