Jean‐Emmanuel Bibault
- Radiology, Nuclear Medicine and Imaging top 1%
- Radiation top 1%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Artificial Intelligence top 5%
- Co-authors
- Philippe GiraudAnita BurgunBenoît BrouardBenjamin ChaixX. MirabelÉric LartigauT. LacornerieGuillaume Delamon
- Topics
- Advanced Radiotherapy Techniques (37 papers)Radiomics and Machine Learning in Medical Imaging (22 papers)Lung Cancer Diagnosis and Treatment (19 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Jean‐Emmanuel Bibault
95 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 133
- Radiology, Nuclear Medicine and Imaging 921
- Radiation 534
- Pulmonary and Respiratory Medicine 526
- Oncology 363
- Artificial Intelligence 309
Countries citing papers authored by Jean‐Emmanuel Bibault
This map shows the geographic impact of Jean‐Emmanuel Bibault'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‐Emmanuel Bibault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Emmanuel Bibault more than expected).
Fields of papers citing papers by Jean‐Emmanuel Bibault
This network shows the impact of papers produced by Jean‐Emmanuel Bibault. 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‐Emmanuel Bibault. The network helps show where Jean‐Emmanuel Bibault may publish in the future.
Co-authorship network of co-authors of Jean‐Emmanuel Bibault
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Emmanuel Bibault. A scholar is included among the top collaborators of Jean‐Emmanuel Bibault 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‐Emmanuel Bibault. Jean‐Emmanuel Bibault 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 | 1 | |
| 3 | 1 | |
| 4 | 29 | |
| 5 | 7 | |
| 6 | 45 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 26 | |
| 10 | 42 | |
| 11 | 17 | |
| 12 | 56 | |
| 13 | 120 | |
| 14 | 139 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 42 | |
| 18 | 55 | |
| 19 | 14 | |
| 20 | 38 |
About Jean‐Emmanuel Bibault
Jean‐Emmanuel Bibault is a scholar working on Radiation, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 100 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (37 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Lung Cancer Diagnosis and Treatment (19 papers). The work is most often cited by research in Health Informatics (194 citations), Radiation (534 citations) and Radiology, Nuclear Medicine and Imaging (921 citations). Jean‐Emmanuel Bibault has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Philippe Giraud, Anita Burgun, Benoît Brouard, Benjamin Chaix, X. Mirabel, Éric Lartigau, T. Lacornerie, Guillaume Delamon, Arthur Guillemassé and S. Dewas. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.