Jacques Froment
Impact in
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Medical Image Segmentation Techniques
- Advanced Data Compression Techniques
- Advanced Vision and Imaging
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
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- Image and Signal Denoising Methods 17
- Medical Image Segmentation Techniques 7
- Advanced Image Processing Techniques 6
- Advanced Vision and Imaging 3
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- Advanced Image Fusion Techniques 6
- Co-authors
- Sylvain Durand (2 shared papers)Stéphane Mallat (1 shared paper)Xiaoqin Zhang (1 shared paper)B. Coll (2 shared papers)Xiaoqun Zhang (1 shared paper)Quansheng Liu (2 shared papers)Bernard Rougé (1 shared paper)Jean‐Michel Morel (1 shared paper)
In The Last Decade
Jacques Froment
22 papers receiving 366 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 316
- Media Technology 120
- Computational Mechanics 71
- Computer Graphics and Computer-Aided Design 11
- Signal Processing 31
Countries citing papers authored by Jacques Froment
This map shows the geographic impact of Jacques Froment'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 Jacques Froment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Froment more than expected).
Fields of papers citing papers by Jacques Froment
This network shows the impact of papers produced by Jacques Froment. 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 Jacques Froment. The network helps show where Jacques Froment may publish in the future.
Co-authors
The 18 scholars most cited alongside Jacques Froment, 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 | 2003 | 128 | |
| 2 | 2014 | 70 | |
| 3 | 1992 | 58 | |
| 4 | 2006 | 20 | |
| 5 | 2004 | 14 | |
| 6 | 2017 | 13 | |
| 7 | 1999 | 12 | |
| 8 | 2001 | 11 | |
| 9 | 2012 | 10 | |
| 10 | 2005 | 9 | |
| 11 | 2002 | 9 | |
| 12 | 1999 | 7 | |
| 13 | 2003 | 7 | |
| 14 | 2000 | 5 | |
| 15 | 2005 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2007 | 3 | |
| 20 | 1990 | 3 |
About Jacques Froment
Jacques Froment is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Biomedical Engineering, having authored 23 papers that have together received 394 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (17 papers), Medical Image Segmentation Techniques (7 papers), Advanced Image Processing Techniques (6 papers), Advanced Image Fusion Techniques (6 papers), Medical Imaging Techniques and Applications (4 papers), Advanced X-ray and CT Imaging (3 papers), Advanced Vision and Imaging (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Media Technology (120 citations), Computational Mechanics (71 citations), Computer Graphics and Computer-Aided Design (11 citations) and Signal Processing (31 citations). Jacques Froment has collaborated with scholars based in France, China and Spain. Frequent co-authors include Sylvain Durand, Stéphane Mallat, Xiaoqin Zhang, Sylvain Durand, B. Coll, Xiaoqun Zhang, Quansheng Liu, Bernard Rougé, Jean‐Michel Morel and Alexandre Bousse. Their work appears in journals such as Inverse Problems and Imaging, Journal of Visual Communication and Image Representation, SIAM Journal on Scientific Computing, Journal of Mathematical Imaging and Vision and ESAIM Control Optimisation and Calculus of Variations.
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.