Pascal Bourdon
Impact in
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- Digital Media Forensic Detection
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Image and Signal Denoising Methods 5
- Advanced Image Processing Techniques 5
- Advanced Vision and Imaging 4
- Face and Expression Recognition 3
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- Image Processing Techniques and Applications 3
- Co-authors
- Thierry Urruty (6 shared papers)Christine Fernández-Maloigne (6 shared papers)Mohamad Khalil (3 shared papers)Ahmad Shahin (3 shared papers)Omar Falou (3 shared papers)David Helbert (9 shared papers)Rémy Guillevin (6 shared papers)Claire Boutet (1 shared paper)
In The Last Decade
Pascal Bourdon
22 papers receiving 205 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 9
- Computer Vision and Pattern Recognition 106
- Neurology 38
- Radiology, Nuclear Medicine and Imaging 70
- Media Technology 24
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 16 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 70 | |
| 2 | 2020 | 37 | |
| 3 | 2021 | 30 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 7 | |
| 7 | 2006 | 5 | |
| 8 | 2019 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2004 | 3 | |
| 12 | 2008 | 3 | |
| 13 | 2005 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2017 | 1 |
About Pascal Bourdon
Pascal Bourdon is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Signal Processing and Artificial Intelligence, having authored 23 papers that have together received 215 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), Advanced Image Processing Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Vision and Imaging (4 papers), Face and Expression Recognition (3 papers), Image Processing Techniques and Applications (3 papers), Brain Tumor Detection and Classification (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (9 citations), Computer Vision and Pattern Recognition (106 citations), Neurology (38 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Media Technology (24 citations). Pascal Bourdon has collaborated with scholars based in France, Lebanon and Thailand. Frequent co-authors include Thierry Urruty, Christine Fernández-Maloigne, Mohamad Khalil, Ahmad Shahin, Omar Falou, David Helbert, Rémy Guillevin, Claire Boutet, Christophe Habas and J.-N. Vallée. 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 Journal of the Optical Society of America A.
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.