Stéphane Chrétien
Impact in
- Computational Mathematics top 10%
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Sparse and Compressive Sensing Techniques 19
- Co-authors
- Alfred O. Hero (4 shared papers)Gilles Celeux (1 shared paper)Florence Forbes (1 shared paper)Christophe Biernacki (1 shared paper)Christophe Guyeux (10 shared papers)Juan‐Pablo Ortega (1 shared paper)Manuchehr Soleimani (3 shared papers)Wenjuan Sun (4 shared papers)
- Journals
- IEEE Transactions on Information Theory (3 papers)Computational Statistics & Data Analysis (2 papers)Computers in Biology and Medicine (2 papers)Linear Algebra and its Applications (2 papers)Bioinformatics (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Stéphane Chrétien
47 papers receiving 412 citations
Peers
Comparison fields: 5 of 102
- Computational Mathematics 9
- Statistics and Probability 55
- Artificial Intelligence 150
- Computer Vision and Pattern Recognition 78
- Signal Processing 36
Countries citing papers authored by Stéphane Chrétien
This map shows the geographic impact of Stéphane Chrétien'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 Stéphane Chrétien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Chrétien more than expected).
Fields of papers citing papers by Stéphane Chrétien
This network shows the impact of papers produced by Stéphane Chrétien. 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 Stéphane Chrétien. The network helps show where Stéphane Chrétien may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane Chrétien, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 88 | |
| 2 | 2016 | 36 | |
| 3 | 2003 | 34 | |
| 4 | 2000 | 31 | |
| 5 | 2009 | 21 | |
| 6 | 2014 | 17 | |
| 7 | 2008 | 16 | |
| 8 | 2019 | 13 | |
| 9 | 2012 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 1996 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2009 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2015 | 6 |
About Stéphane Chrétien
Stéphane Chrétien is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 428 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (19 papers), Medical Imaging Techniques and Applications (6 papers), Advanced Optimization Algorithms Research (5 papers), Genomics and Phylogenetic Studies (4 papers), Advanced X-ray and CT Imaging (4 papers), Statistical Methods and Inference (4 papers), Bayesian Methods and Mixture Models (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Computational Mathematics (9 citations), Statistics and Probability (55 citations), Artificial Intelligence (150 citations), Computer Vision and Pattern Recognition (78 citations) and Signal Processing (36 citations). Stéphane Chrétien has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Alfred O. Hero, Gilles Celeux, Florence Forbes, Christophe Biernacki, Christophe Guyeux, Juan‐Pablo Ortega, Manuchehr Soleimani, Wenjuan Sun, Pascal Bondon and Christophe Varnier. Their work appears in journals such as IEEE Transactions on Information Theory, Computational Statistics & Data Analysis, Computers in Biology and Medicine, Linear Algebra and its Applications and Bioinformatics.
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.