Maxime Barat
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 18
- Oncology 25
- Pancreatic and Hepatic Oncology Research 15
- Co-authors
- Philippe Soyer (67 shared papers)Anthony J.J. Dohan (60 shared papers)Christine Caroline Hoeffel (25 shared papers)Romain Coriat (24 shared papers)Anne Sophie Jannot (4 shared papers)Raphaël Dautry (16 shared papers)Sébastien Gaujoux (10 shared papers)Anna Pellat (12 shared papers)
- Journals
- Diagnostic and Interventional Imaging (38 papers)Cancers (6 papers)European Journal of Radiology (5 papers)European Journal of Endocrinology (4 papers)European Radiology (4 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Maxime Barat
101 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Health Informatics 101
- Radiology, Nuclear Medicine and Imaging 350
- Gastroenterology 57
- Oncology 241
- Hepatology 68
Countries citing papers authored by Maxime Barat
This map shows the geographic impact of Maxime Barat'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 Maxime Barat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Barat more than expected).
Fields of papers citing papers by Maxime Barat
This network shows the impact of papers produced by Maxime Barat. 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 Maxime Barat. The network helps show where Maxime Barat may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Barat, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 128 | |
| 2 | 2022 | 110 | |
| 3 | 2022 | 105 | |
| 4 | 2020 | 49 | |
| 5 | 2021 | 46 | |
| 6 | 2021 | 43 | |
| 7 | 2022 | 37 | |
| 8 | 2016 | 27 | |
| 9 | 2017 | 27 | |
| 10 | 2023 | 27 | |
| 11 | 2023 | 25 | |
| 12 | 2017 | 24 | |
| 13 | 2020 | 24 | |
| 14 | 2020 | 24 | |
| 15 | 2016 | 23 | |
| 16 | 2019 | 22 | |
| 17 | 2022 | 22 | |
| 18 | 2016 | 21 | |
| 19 | 2019 | 21 | |
| 20 | 2022 | 20 |
About Maxime Barat
Maxime Barat is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 115 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Pancreatic and Hepatic Oncology Research (15 papers), Adrenal and Paraganglionic Tumors (14 papers), Neuroendocrine Tumor Research Advances (8 papers), Pituitary Gland Disorders and Treatments (8 papers), Renal cell carcinoma treatment (6 papers), Advanced X-ray and CT Imaging (6 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Health Informatics (101 citations), Radiology, Nuclear Medicine and Imaging (350 citations), Gastroenterology (57 citations), Oncology (241 citations) and Hepatology (68 citations). Maxime Barat has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Philippe Soyer, Anthony J.J. Dohan, Christine Caroline Hoeffel, Romain Coriat, Anne Sophie Jannot, Raphaël Dautry, Sébastien Gaujoux, Anna Pellat, A. Feydy and Tom Boeken. Their work appears in journals such as Diagnostic and Interventional Imaging, Cancers, European Journal of Radiology, European Journal of Endocrinology and European Radiology.
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.