Pascal Bourdon
Impact in
- Health Informatics top 10%
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- Digital Media Forensic Detection
- Advanced Neural Network Applications
- Advanced Steganography and Watermarking Techniques
- Generative Adversarial Networks and Image Synthesis
- Medical Image Segmentation Techniques
Papers in
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- Advanced Image Processing Techniques 6
- Image and Signal Denoising Methods 5
- Medical Image Segmentation Techniques 4
- Advanced Vision and Imaging 4
- Face and Expression Recognition 3
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- Radiomics and Machine Learning in Medical Imaging 5
- MRI in cancer diagnosis 3
- Co-authors
- Christine Fernández-Maloigne (9 shared papers)Thierry Urruty (9 shared papers)Mohamad Khalil (3 shared papers)Omar Falou (3 shared papers)Ahmad Shahin (3 shared papers)David Helbert (10 shared papers)Rémy Guillevin (7 shared papers)Claire Boutet (1 shared paper)
In The Last Decade
Pascal Bourdon
26 papers receiving 239 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 11
- Computer Vision and Pattern Recognition 123
- Neurology 39
- Media Technology 29
- Radiology, Nuclear Medicine and Imaging 63
Countries citing papers authored by Pascal Bourdon
This map shows the geographic impact of Pascal Bourdon'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 Pascal Bourdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Bourdon more than expected).
Fields of papers citing papers by Pascal Bourdon
This network shows the impact of papers produced by Pascal Bourdon. 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 Pascal Bourdon. The network helps show where Pascal Bourdon may publish in the future.
Co-authors
The 18 scholars most cited alongside Pascal Bourdon, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2020 | 40 | |
| 3 | 2021 | 31 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 12 | |
| 6 | 2012 | 11 | |
| 7 | 2018 | 8 | |
| 8 | 2021 | 8 | |
| 9 | 2008 | 6 | |
| 10 | 2019 | 5 | |
| 11 | 2006 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2005 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2004 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2021 | 2 |
About Pascal Bourdon
Pascal Bourdon is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Media Technology, Neurology and Artificial Intelligence, having authored 27 papers that have together received 252 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Brain Tumor Detection and Classification (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Image and Signal Denoising Methods (5 papers), Medical Image Segmentation Techniques (4 papers), Advanced Vision and Imaging (4 papers), MRI in cancer diagnosis (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Health Informatics (11 citations), Computer Vision and Pattern Recognition (123 citations), Neurology (39 citations), Media Technology (29 citations) and Radiology, Nuclear Medicine and Imaging (63 citations). Pascal Bourdon has collaborated with scholars based in France, Lebanon and Thailand. Frequent co-authors include Christine Fernández-Maloigne, Thierry Urruty, Mohamad Khalil, Omar Falou, Ahmad Shahin, David Helbert, Rémy Guillevin, Claire Boutet, C. Fernández‐Maloigne and Christophe Habas. Their work appears in journals such as Journal of Visual Communication and Image Representation, Multimedia Tools and Applications, Image and Vision Computing, Signal Processing Image Communication and Medical Image Analysis.
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.