David Bouget
Impact in
- Health Informatics top 5%
-
- Augmented Reality Applications
Papers in ⓘ
-
- Radiomics and Machine Learning in Medical Imaging 7
- Retinal Imaging and Analysis 4
- Surgery 8
- Surgical Simulation and Training 7
- Co-authors
- Pierre Jannin (8 shared papers)Laurent Riffaud (4 shared papers)Danail Stoyanov (3 shared papers)Max Allan (1 shared paper)Florent Lalys (4 shared papers)Xavier Morandi (1 shared paper)Arnaud Huaulmé (1 shared paper)Mohamed Omran (1 shared paper)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (4 papers)Acta Neurochirurgica (3 papers)IEEE Transactions on Biomedical Engineering (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- NorwayFranceUnited Kingdom
In The Last Decade
David Bouget
25 papers receiving 769 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 39
- Computer Vision and Pattern Recognition 274
- Surgery 428
- Biomedical Engineering 319
- Human-Computer Interaction 32
Countries citing papers authored by David Bouget
This map shows the geographic impact of David Bouget'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 Bouget with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bouget more than expected).
Fields of papers citing papers by David Bouget
This network shows the impact of papers produced by David Bouget. 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 Bouget. The network helps show where David Bouget may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bouget, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 179 | |
| 2 | 2011 | 87 | |
| 3 | 2016 | 86 | |
| 4 | 2015 | 83 | |
| 5 | 2015 | 79 | |
| 6 | 2012 | 43 | |
| 7 | 2019 | 40 | |
| 8 | 2011 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2021 | 17 | |
| 11 | 2023 | 15 | |
| 12 | 2012 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 5 |
About David Bouget
David Bouget is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Genetics, Computer Vision and Pattern Recognition and Epidemiology, having authored 26 papers that have together received 782 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Surgical Simulation and Training (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Meningioma and schwannoma management (6 papers), Medical Imaging and Analysis (4 papers), Augmented Reality Applications (4 papers), Retinal Imaging and Analysis (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Health Informatics (39 citations), Computer Vision and Pattern Recognition (274 citations), Surgery (428 citations), Biomedical Engineering (319 citations) and Human-Computer Interaction (32 citations). David Bouget has collaborated with scholars based in Norway, France and United Kingdom. Frequent co-authors include Pierre Jannin, Laurent Riffaud, Danail Stoyanov, Max Allan, Florent Lalys, Xavier Morandi, Arnaud Huaulmé, Mohamed Omran, Rodrigo Benenson and Bernt Schiele. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Acta Neurochirurgica, IEEE Transactions on Biomedical Engineering, PLoS ONE and Scientific Reports.
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.