É. de Kerviler
Impact in
-
- Lymphoma Diagnosis and Treatment
-
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- Lymphoma Diagnosis and Treatment 25
- Co-authors
- J FrijaAli GuermaziC. de BazelaireA.X. BigardJosette BrièreG CathelineauPauline BriceJean–François Gautier
- Journals
- Diagnostic and Interventional Imaging (10 papers)European Radiology (9 papers)CardioVascular and Interventional Radiology (4 papers)American Journal of Roentgenology (4 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
É. de Kerviler
139 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 142
- Pathology and Forensic Medicine 747
- Radiology, Nuclear Medicine and Imaging 714
- Neurology 420
- Genetics 242
- Pulmonary and Respiratory Medicine 733
Countries citing papers authored by É. de Kerviler
This map shows the geographic impact of É. de Kerviler'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 É. de Kerviler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites É. de Kerviler more than expected).
Fields of papers citing papers by É. de Kerviler
This network shows the impact of papers produced by É. de Kerviler. 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 É. de Kerviler. The network helps show where É. de Kerviler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside É. de Kerviler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 43 | |
| 6 | 2021 | 6 | |
| 7 | 2018 | 23 | |
| 8 | 2016 | 50 | |
| 9 | 2015 | 11 | |
| 10 | 2015 | 31 | |
| 11 | 2014 | 13 | |
| 12 | 2013 | 7 | |
| 13 | 2010 | 98 | |
| 14 | 2010 | 5 | |
| 15 | 2008 | 6 | |
| 16 | 2001 | 12 | |
| 17 | 2000 | 53 | |
| 18 | 1998 | 30 | |
| 19 | 1998 | 9 | |
| 20 | 1996 | 21 |
About É. de Kerviler
É. de Kerviler is a scholar working on Microbiology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 150 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (25 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), MRI in cancer diagnosis (16 papers), Lung Cancer Diagnosis and Treatment (13 papers), Renal cell carcinoma treatment (12 papers), Medical Imaging and Pathology Studies (10 papers), Advanced MRI Techniques and Applications (10 papers) and CNS Lymphoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (747 citations), Radiology, Nuclear Medicine and Imaging (714 citations), Neurology (420 citations), Genetics (242 citations) and Pulmonary and Respiratory Medicine (733 citations). É. de Kerviler has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include J Frija, Ali Guermazi, C. de Bazelaire, A.X. Bigard, Josette Brière, G Cathelineau, Pauline Brice, Jean–François Gautier, Anne–Marie Zagdanski and Charles Yannick Guézennec. Their work appears in journals such as Diagnostic and Interventional Imaging, European Radiology, CardioVascular and Interventional Radiology, American Journal of Roentgenology and Journal of Clinical Oncology.
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.