Johan Debayle
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Image and Signal Denoising Methods
Papers in
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- Medical Image Segmentation Techniques 31
- Image Retrieval and Classification Techniques 20
- Image and Signal Denoising Methods 13
- Advanced Image and Video Retrieval Techniques 8
- Digital Image Processing Techniques 6
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- Advanced Image Fusion Techniques 13
- Co-authors
- Jean‐Charles Pinoli (40 shared papers)Yann Gavet (13 shared papers)Nima Hatami (1 shared paper)Wenzhong Shi (1 shared paper)Zelang Miao (1 shared paper)Jérôme Laurencin (11 shared papers)Hamza Moussaoui (7 shared papers)Bertrand Ruot (1 shared paper)
In The Last Decade
Johan Debayle
103 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Media Technology 279
- Computer Vision and Pattern Recognition 411
- Ocean Engineering 240
- Environmental Engineering 220
- Biophysics 56
Countries citing papers authored by Johan Debayle
This map shows the geographic impact of Johan Debayle'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 Johan Debayle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Debayle more than expected).
Fields of papers citing papers by Johan Debayle
This network shows the impact of papers produced by Johan Debayle. 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 Johan Debayle. The network helps show where Johan Debayle may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Debayle, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 186 | |
| 2 | 2013 | 180 | |
| 3 | 2009 | 123 | |
| 4 | 2017 | 76 | |
| 5 | 2006 | 63 | |
| 6 | 2018 | 49 | |
| 7 | 2011 | 48 | |
| 8 | 2023 | 39 | |
| 9 | 2019 | 35 | |
| 10 | 2006 | 34 | |
| 11 | 2006 | 33 | |
| 12 | 2011 | 32 | |
| 13 | 2017 | 27 | |
| 14 | 2005 | 22 | |
| 15 | 2023 | 22 | |
| 16 | 2014 | 21 | |
| 17 | 2022 | 21 | |
| 18 | 2009 | 20 | |
| 19 | 2020 | 20 | |
| 20 | 2016 | 19 |
About Johan Debayle
Johan Debayle is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Applied Mathematics, Ocean Engineering and Biophysics, having authored 107 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (31 papers), Image Retrieval and Classification Techniques (20 papers), Advanced Image Fusion Techniques (13 papers), Image and Signal Denoising Methods (13 papers), Advanced Image and Video Retrieval Techniques (8 papers), Point processes and geometric inequalities (8 papers), Advancements in Solid Oxide Fuel Cells (7 papers) and Digital Image Processing Techniques (6 papers). The work is most often cited by research in Media Technology (279 citations), Computer Vision and Pattern Recognition (411 citations), Ocean Engineering (240 citations), Environmental Engineering (220 citations) and Biophysics (56 citations). Johan Debayle has collaborated with scholars based in France, Indonesia and Morocco. Frequent co-authors include Jean‐Charles Pinoli, Yann Gavet, Nima Hatami, Wenzhong Shi, Zelang Miao, Jérôme Laurencin, Hamza Moussaoui, Bertrand Ruot, Ph. Grosseau and Jérémie Pourchez. Their work appears in journals such as Image Analysis & Stereology, Journal of Mathematical Imaging and Vision, Powder Technology, Pattern Recognition Letters and Pattern Recognition.
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.