Jean‐Michel Rouet
- Computer Vision and Pattern Recognition top 10%
- Cardiology and Cardiovascular Medicine
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Christian RouxMathews JacobSílvia D. OlabarriagaMarcel BreeuwerOlivier GérardWiro J. NiessenAmita SinghOdile Bonnefous
- Topics
- Advanced X-ray and CT Imaging (6 papers)Medical Imaging Techniques and Applications (5 papers)Medical Image Segmentation Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionCardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- FranceUnited StatesFinland
In The Last Decade
Jean‐Michel Rouet
15 papers receiving 253 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 110
- Cardiology and Cardiovascular Medicine 84
- Radiology, Nuclear Medicine and Imaging 81
- Biomedical Engineering 76
- Pulmonary and Respiratory Medicine 73
Countries citing papers authored by Jean‐Michel Rouet
This map shows the geographic impact of Jean‐Michel Rouet'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 Jean‐Michel Rouet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Michel Rouet more than expected).
Fields of papers citing papers by Jean‐Michel Rouet
This network shows the impact of papers produced by Jean‐Michel Rouet. 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 Jean‐Michel Rouet. The network helps show where Jean‐Michel Rouet may publish in the future.
Co-authorship network of co-authors of Jean‐Michel Rouet
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Rouet. A scholar is included among the top collaborators of Jean‐Michel Rouet 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 Jean‐Michel Rouet. Jean‐Michel Rouet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 60 | |
| 12 | 4 | |
| 13 | 73 | |
| 14 | 2 | |
| 15 | 79 |
About Jean‐Michel Rouet
Jean‐Michel Rouet is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 262 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (110 citations), Cardiology and Cardiovascular Medicine (84 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). Jean‐Michel Rouet has collaborated with scholars based in France, United States and Finland. Frequent co-authors include Christian Roux, Mathews Jacob, Sílvia D. Olabarriaga, Marcel Breeuwer, Olivier Gérard, Wiro J. Niessen, Amita Singh, Odile Bonnefous, Qianqian Fang and Daniel B. Kopans. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Physics and Journal of Biomedical Optics.
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.