Frédéric Cérou
Impact in
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
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- Probabilistic and Robust Engineering Design
Papers in
-
- Markov Chains and Monte Carlo Methods 9
- Statistical Distribution Estimation and Applications 4
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- Bayesian Methods and Mixture Models 5
- Co-authors
- Arnaud Guyader (19 shared papers)Pierre Del Moral (6 shared papers)Teddy Furon (7 shared papers)Gérard Biau (2 shared papers)Gabriel Charlet (7 shared papers)Pierre Sillard (5 shared papers)H. Mardoyan (6 shared papers)S. Bigo (6 shared papers)
- Journals
- Annales de l Institut Henri Poincaré Probabilités et Statistiques (2 papers)Statistics and Computing (2 papers)Mechanical Systems and Signal Processing (1 paper)The Journal of Chemical Physics (1 paper)Inverse Problems (1 paper)
- Partner nations
- FranceUnited StatesIndia
In The Last Decade
Frédéric Cérou
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 315
- Statistics, Probability and Uncertainty 138
- Mathematical Physics 90
- Management Science and Operations Research 110
- Artificial Intelligence 269
Countries citing papers authored by Frédéric Cérou
This map shows the geographic impact of Frédéric Cérou'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 Cérou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Cérou more than expected).
Fields of papers citing papers by Frédéric Cérou
This network shows the impact of papers produced by Frédéric Cérou. 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 Cérou. The network helps show where Frédéric Cérou may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Cérou, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 167 | |
| 2 | 2011 | 149 | |
| 3 | 2011 | 125 | |
| 4 | 2011 | 89 | |
| 5 | 2011 | 61 | |
| 6 | 2006 | 55 | |
| 7 | 2011 | 50 | |
| 8 | 2011 | 49 | |
| 9 | 2015 | 43 | |
| 10 | 2008 | 43 | |
| 11 | 2010 | 38 | |
| 12 | 2019 | 32 | |
| 13 | 2009 | 28 | |
| 14 | 2005 | 27 | |
| 15 | A non asymptotic variance theorem for unnormalized Feynman-Kac particle models | 2008 | 24 |
| 16 | 2008 | 21 | |
| 17 | Rare event simulation for a static distribution | 2009 | 18 |
| 18 | 2018 | 16 | |
| 19 | 2008 | 13 | |
| 20 | 2007 | 12 |
About Frédéric Cérou
Frédéric Cérou is a scholar working on Statistics and Probability, Artificial Intelligence, Mathematical Physics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (9 papers), Stochastic processes and statistical mechanics (9 papers), Optical Network Technologies (7 papers), Advanced Steganography and Watermarking Techniques (5 papers), Probability and Risk Models (5 papers), Bayesian Methods and Mixture Models (5 papers), Statistical Distribution Estimation and Applications (4 papers) and Semiconductor Lasers and Optical Devices (4 papers). The work is most often cited by research in Statistics and Probability (315 citations), Statistics, Probability and Uncertainty (138 citations), Mathematical Physics (90 citations), Management Science and Operations Research (110 citations) and Artificial Intelligence (269 citations). Frédéric Cérou has collaborated with scholars based in France, United States and India. Frequent co-authors include Arnaud Guyader, Pierre Del Moral, Teddy Furon, Gérard Biau, Gabriel Charlet, Pierre Sillard, H. Mardoyan, S. Bigo, Lionel Provost and M. Salsi. Their work appears in journals such as Annales de l Institut Henri Poincaré Probabilités et Statistiques, Statistics and Computing, Mechanical Systems and Signal Processing, The Journal of Chemical Physics and Inverse Problems.
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.