Sylvain Bodard
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
- MRI in cancer diagnosis
Papers in
-
- Renal cell carcinoma treatment 8
- Lung Cancer Diagnosis and Treatment 6
- Renal and Vascular Pathologies 5
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- Radiomics and Machine Learning in Medical Imaging 10
- MRI in cancer diagnosis 8
- Ultrasound Imaging and Elastography 7
- Co-authors
- Jean-Michel Corréas (16 shared papers)O. Hélénon (13 shared papers)Olivier Couture (9 shared papers)Arthur Chavignon (6 shared papers)F. Cornélis (15 shared papers)Vincent Hingot (3 shared papers)Charles Dariane (8 shared papers)Elena N. Petre (7 shared papers)
- Journals
- Insights into Imaging (3 papers)Academic Radiology (2 papers)Theranostics (2 papers)European Radiology (2 papers)Cancers (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Sylvain Bodard
42 papers receiving 400 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 196
- Pulmonary and Respiratory Medicine 156
- Biomedical Engineering 163
- Hepatology 25
Countries citing papers authored by Sylvain Bodard
This map shows the geographic impact of Sylvain Bodard'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 Sylvain Bodard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Bodard more than expected).
Fields of papers citing papers by Sylvain Bodard
This network shows the impact of papers produced by Sylvain Bodard. 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 Sylvain Bodard. The network helps show where Sylvain Bodard may publish in the future.
Co-authors
The 25 scholars most cited alongside Sylvain Bodard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 43 | |
| 2 | 2023 | 42 | |
| 3 | 2023 | 36 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 24 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2023 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2024 | 13 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2022 | 5 |
About Sylvain Bodard
Sylvain Bodard is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Hepatology, having authored 55 papers that have together received 403 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Renal cell carcinoma treatment (8 papers), MRI in cancer diagnosis (8 papers), Ultrasound Imaging and Elastography (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Renal and Vascular Pathologies (5 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (196 citations), Pulmonary and Respiratory Medicine (156 citations), Biomedical Engineering (163 citations) and Hepatology (25 citations). Sylvain Bodard has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jean-Michel Corréas, O. Hélénon, Olivier Couture, Arthur Chavignon, F. Cornélis, Vincent Hingot, Charles Dariane, Elena N. Petre, Dany Anglicheau and Brett Marinelli. Their work appears in journals such as Insights into Imaging, Academic Radiology, Theranostics, European Radiology and Cancers.
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.