Jean‐Michel Morel
- Computer Vision and Pattern Recognition top 0.01%
- Image and Signal Denoising Methods 72
- Advanced Vision and Imaging 56
- Medical Image Segmentation Techniques 52
- Advanced Image Processing Techniques 46
- Advanced Image and Video Retrieval Techniques 30
- Media Technology top 0.01%
- Advanced Image Fusion Techniques 46
- Image Processing Techniques and Applications 34
- Geology top 0.5%
- Computational Mechanics top 0.2%
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- Nuclear Physics and Applications 35
- Co-authors
- Antoni BuadesB. CollPierre-Louis LionsLuis ÁlvarezGuoshen YuRafael Grompone von GioiGrégory RandallJérémie Jakubowicz
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (9 papers)Environmental Science & Technology (1 paper)
- Partner nations
- FranceSpainUnited States
In The Last Decade
Jean‐Michel Morel
307 papers receiving 21.9k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Computer Vision and Pattern Recognition 16.9k
- Media Technology 6.5k
- Computer Graphics and Computer-Aided Design 824
- Geology 777
- Computational Mechanics 2.9k
Countries citing papers authored by Jean‐Michel Morel
This map shows the geographic impact of Jean‐Michel Morel'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 Jean‐Michel Morel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Michel Morel more than expected).
Fields of papers citing papers by Jean‐Michel Morel
This network shows the impact of papers produced by Jean‐Michel Morel. 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 Jean‐Michel Morel. The network helps show where Jean‐Michel Morel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Michel Morel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 7 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 43 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 21 | |
| 14 | 2021 | 0 | |
| 15 | 2019 | 6 | |
| 16 | 2014 | 9 | |
| 17 | 2011 | 72 | |
| 18 | 2010 | 27 | |
| 19 | Trois applications des mathématiques | 1998 | 0 |
| 20 | 1985 | 3 |
About Jean‐Michel Morel
Jean‐Michel Morel is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 329 papers that have together received 23.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (72 papers), Advanced Vision and Imaging (56 papers), Medical Image Segmentation Techniques (52 papers), Advanced Image Fusion Techniques (46 papers), Advanced Image Processing Techniques (46 papers), Nuclear Physics and Applications (35 papers), Image Processing Techniques and Applications (34 papers) and Advanced Image and Video Retrieval Techniques (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (16.9k citations), Media Technology (6.5k citations) and Computer Graphics and Computer-Aided Design (824 citations). Jean‐Michel Morel has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Antoni Buades, B. Coll, Pierre-Louis Lions, Luis Álvarez, Guoshen Yu, Rafael Grompone von Gioi, Grégory Randall, Jérémie Jakubowicz, Catalina Sbert and Sergio Solimini. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.