Christophe Collet
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Biophysics top 10%
Papers in
-
- Image and Signal Denoising Methods 8
- Medical Image Segmentation Techniques 5
-
- Remote-Sensing Image Classification 9
- Co-authors
- Vincent Mazet (10 shared papers)Yoshitate Takakura (2 shared papers)Fionn Murtagh (2 shared papers)Christelle Gendrin (1 shared paper)Thierry Lafont (1 shared paper)Erwan Josse (1 shared paper)Stratis Georgakarakos (1 shared paper)Yves Roggo (1 shared paper)
- Journals
- Signal Processing (3 papers)Pattern Recognition (3 papers)Optics Express (2 papers)Pattern Recognition Letters (2 papers)Fish and Fisheries (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Christophe Collet
45 papers receiving 338 citations
Peers
Comparison fields: 5 of 80
- Media Technology 96
- Biophysics 30
- Analytical Chemistry 46
- Computer Vision and Pattern Recognition 94
- Oceanography 43
Countries citing papers authored by Christophe Collet
This map shows the geographic impact of Christophe Collet'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 Christophe Collet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Collet more than expected).
Fields of papers citing papers by Christophe Collet
This network shows the impact of papers produced by Christophe Collet. 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 Christophe Collet. The network helps show where Christophe Collet may publish in the future.
Co-authors
The 25 scholars most cited alongside Christophe Collet, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 49 | |
| 2 | 2016 | 28 | |
| 3 | 2008 | 25 | |
| 4 | 2004 | 22 | |
| 5 | 2006 | 22 | |
| 6 | 1996 | 19 | |
| 7 | 2004 | 19 | |
| 8 | 2004 | 18 | |
| 9 | 2009 | 16 | |
| 10 | 2010 | 16 | |
| 11 | 2015 | 14 | |
| 12 | 2019 | 9 | |
| 13 | 2014 | 7 | |
| 14 | 2008 | 6 | |
| 15 | 2012 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2014 | 5 | |
| 20 | 2018 | 4 |
About Christophe Collet
Christophe Collet is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Analytical Chemistry, Signal Processing and Biomedical Engineering, having authored 46 papers that have together received 347 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (9 papers), Remote-Sensing Image Classification (9 papers), Image and Signal Denoising Methods (8 papers), Medical Image Segmentation Techniques (5 papers), Remote Sensing and Land Use (5 papers), Blind Source Separation Techniques (4 papers), Underwater Acoustics Research (4 papers) and Automated Road and Building Extraction (4 papers). The work is most often cited by research in Media Technology (96 citations), Biophysics (30 citations), Analytical Chemistry (46 citations), Computer Vision and Pattern Recognition (94 citations) and Oceanography (43 citations). Christophe Collet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Vincent Mazet, Yoshitate Takakura, Fionn Murtagh, Christelle Gendrin, Thierry Lafont, Erwan Josse, Stratis Georgakarakos, Yves Roggo, Patrice Brehmer and François Gerlotto. Their work appears in journals such as Signal Processing, Pattern Recognition, Optics Express, Pattern Recognition Letters and Fish and Fisheries.
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.