David Bourhis
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
Papers in
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- Medical Imaging Techniques and Applications 28
- Radiomics and Machine Learning in Medical Imaging 15
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- Lung Cancer Diagnosis and Treatment 7
- Co-authors
- Pierre‐Yves Salaün (46 shared papers)Philippe Robin (27 shared papers)Ronan Abgral (37 shared papers)Pierre‐Yves Le Roux (23 shared papers)Ulrike Schick (25 shared papers)S. Querellou (15 shared papers)Rodney J. Hicks (5 shared papers)Jason Callahan (5 shared papers)
- Journals
- Frontiers in Medicine (8 papers)EJNMMI Physics (4 papers)Cancer Imaging (3 papers)Cancers (3 papers)Medicine (3 papers)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
David Bourhis
52 papers receiving 562 citations
Peers
Comparison fields: 5 of 46
- Radiology, Nuclear Medicine and Imaging 326
- Otorhinolaryngology 51
- Internal Medicine 19
- Radiation 42
- Genetics 35
Countries citing papers authored by David Bourhis
This map shows the geographic impact of David Bourhis'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 David Bourhis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bourhis more than expected).
Fields of papers citing papers by David Bourhis
This network shows the impact of papers produced by David Bourhis. 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 David Bourhis. The network helps show where David Bourhis may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bourhis, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 74 | |
| 2 | 2013 | 57 | |
| 3 | 2018 | 34 | |
| 4 | 2016 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 25 | |
| 7 | 2017 | 21 | |
| 8 | 2018 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2017 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2017 | 17 | |
| 14 | 2017 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2019 | 11 | |
| 18 | 2020 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2020 | 8 |
About David Bourhis
David Bourhis is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Biomedical Engineering and Otorhinolaryngology, having authored 59 papers that have together received 563 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (7 papers), Advanced X-ray and CT Imaging (6 papers), Advanced Radiotherapy Techniques (5 papers), Head and Neck Cancer Studies (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (326 citations), Otorhinolaryngology (51 citations), Internal Medicine (19 citations), Radiation (42 citations) and Genetics (35 citations). David Bourhis has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Pierre‐Yves Salaün, Philippe Robin, Ronan Abgral, Pierre‐Yves Le Roux, Ulrike Schick, S. Querellou, Rodney J. Hicks, Jason Callahan, Michael S. Hofman and Cédric Desmonts. Their work appears in journals such as Frontiers in Medicine, EJNMMI Physics, Cancer Imaging, Cancers and Medicine.
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.