Frédéric Richard
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Image Retrieval and Classification Techniques
- Orthodontics top 10%
Papers in
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- Medical Image Segmentation Techniques 16
- Image and Signal Denoising Methods 4
- Image Retrieval and Classification Techniques 4
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- Medical Imaging Techniques and Applications 6
- Co-authors
- Hermine Biermé (5 shared papers)Laurent D. Cohen (1 shared paper)Joan Glaunès (3 shared papers)Yves Rozenholc (2 shared papers)Françoise Tilotta (2 shared papers)Éric Guedj (2 shared papers)Maxime Bérar (1 shared paper)Predrag R. Bakić (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Medical Imaging (2 papers)Forensic Science International (2 papers)Statistics and Computing (2 papers)Pattern Recognition Letters (1 paper)
- Partner nations
- FranceAlgeriaUnited States
In The Last Decade
Frédéric Richard
29 papers receiving 304 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 143
- Orthodontics 22
- Archeology 40
- Oral Surgery 23
- Geometry and Topology 27
Countries citing papers authored by Frédéric Richard
This map shows the geographic impact of Frédéric Richard'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 Frédéric Richard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Richard more than expected).
Fields of papers citing papers by Frédéric Richard
This network shows the impact of papers produced by Frédéric Richard. 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 Frédéric Richard. The network helps show where Frédéric Richard may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Richard, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 57 | |
| 2 | 2003 | 37 | |
| 3 | 2009 | 22 | |
| 4 | 2020 | 19 | |
| 5 | 2006 | 19 | |
| 6 | 2010 | 19 | |
| 7 | 2007 | 16 | |
| 8 | 2012 | 14 | |
| 9 | 2008 | 12 | |
| 10 | 2014 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2012 | 10 | |
| 13 | 2016 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2015 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2004 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2013 | 4 |
About Frédéric Richard
Frédéric Richard is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Geometry and Topology and Finance, having authored 29 papers that have together received 326 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Medical Imaging Techniques and Applications (6 papers), AI in cancer detection (6 papers), Morphological variations and asymmetry (4 papers), Image and Signal Denoising Methods (4 papers), Image Retrieval and Classification Techniques (4 papers), Financial Risk and Volatility Modeling (3 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Orthodontics (22 citations), Archeology (40 citations), Oral Surgery (23 citations) and Geometry and Topology (27 citations). Frédéric Richard has collaborated with scholars based in France, Algeria and United States. Frequent co-authors include Hermine Biermé, Laurent D. Cohen, Joan Glaunès, Yves Rozenholc, Françoise Tilotta, Éric Guedj, Maxime Bérar, Predrag R. Bakić, Agnès Desolneux and Andrew D. A. Maidment. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging, Forensic Science International, Statistics and Computing and Pattern Recognition Letters.
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.