Frédéric Cérou

2.0k total citations
34 papers, 955 citations indexed

About

Frédéric Cérou is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Frédéric Cérou has authored 34 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 10 papers in Mathematical Physics and 9 papers in Artificial Intelligence. Recurrent topics in Frédéric Cérou's work include Stochastic processes and statistical mechanics (10 papers), Markov Chains and Monte Carlo Methods (10 papers) and Optical Network Technologies (7 papers). Frédéric Cérou is often cited by papers focused on Stochastic processes and statistical mechanics (10 papers), Markov Chains and Monte Carlo Methods (10 papers) and Optical Network Technologies (7 papers). Frédéric Cérou collaborates with scholars based in France, United States and India. Frédéric Cérou's co-authors include Arnaud Guyader, Pierre Del Moral, Teddy Furon, Gérard Biau, S. Bigo, M. Salsi, Gabriel Charlet, P. Tran, Pierre Sillard and H. Mardoyan and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Information Theory and Optics Express.

In The Last Decade

Frédéric Cérou

30 papers receiving 897 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frédéric Cérou France 16 302 295 217 133 99 34 955
Arnaud Guyader France 14 82 0.3× 323 1.1× 271 1.2× 149 1.1× 96 1.0× 35 840
Ja‐Yong Koo South Korea 17 191 0.6× 308 1.0× 176 0.8× 30 0.2× 23 0.2× 94 1.0k
Josef Leydold Austria 17 78 0.3× 142 0.5× 239 1.1× 59 0.4× 71 0.7× 54 955
Nicolas Privault Singapore 19 193 0.6× 198 0.7× 96 0.4× 25 0.2× 136 1.4× 157 1.3k
L. L. Campbell Canada 16 220 0.7× 107 0.4× 277 1.3× 37 0.3× 40 0.4× 52 915
Charles Knessl United States 18 135 0.4× 234 0.8× 101 0.5× 32 0.2× 309 3.1× 171 1.2k
Aldo Tagliani Italy 17 64 0.2× 172 0.6× 73 0.3× 279 2.1× 42 0.4× 83 1.0k
William J. Morokoff United States 12 102 0.3× 145 0.5× 80 0.4× 395 3.0× 69 0.7× 19 1.3k
David Chambers United States 7 125 0.4× 125 0.4× 131 0.6× 20 0.2× 117 1.2× 17 842
Raisa E. Feldman United States 5 100 0.3× 159 0.5× 126 0.6× 40 0.3× 125 1.3× 12 926

Countries citing papers authored by Frédéric Cérou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Frédéric Cérou

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Cérou. A scholar is included among the top collaborators of Frédéric Cérou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frédéric Cérou. Frédéric Cérou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cérou, Frédéric, Patrick Héas, & Mathias Rousset. (2025). Adaptive Reduced Multilevel Splitting. Statistics and Computing. 36(1).
2.
Héas, Patrick, Frédéric Cérou, & M. Rousset. (2023). Chilled sampling for uncertainty quantification: a motivation from a meteorological inverse problem *. Inverse Problems. 40(2). 25004–25004. 1 indexed citations
3.
Cérou, Frédéric, Arnaud Guyader, & Mathias Rousset. (2021). On synchronized Fleming–Viot particle systems. Theory of Probability and Mathematical Statistics. 102. 45–71.
4.
Cérou, Frédéric, Arnaud Guyader, & Mathias Rousset. (2019). Adaptive multilevel splitting: Historical perspective and recent results. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(4). 43108–43108. 31 indexed citations
5.
Cérou, Frédéric, Bernard Delyon, Arnaud Guyader, & Mathias Rousset. (2018). On the Asymptotic Normality of Adaptive Multilevel Splitting. arXiv (Cornell University). 12 indexed citations
6.
Sen, Subhamoy, et al.. (2018). Correntropy based IPKF filter for parameter estimation in presence of non-stationary noise process. IFAC-PapersOnLine. 51(24). 420–427. 2 indexed citations
7.
Sen, Subhamoy, et al.. (2018). Seismic-induced damage detection through parallel force and parameter estimation using an improved interacting Particle-Kalman filter. Mechanical Systems and Signal Processing. 110. 231–247. 15 indexed citations
8.
Dutisseuil, E., et al.. (2012). 34 Gb/s PDM-QPSK coherent receiver using SiGe ADCs and a single FPGA for digital signal processing. Optical Fiber Communication Conference. OM3H.7–OM3H.7. 4 indexed citations
9.
Furon, Teddy, Arnaud Guyader, & Frédéric Cérou. (2012). Decoding fingerprints using the Markov Chain Monte Carlo method. 187–192. 5 indexed citations
10.
Koebele, Clemens, M. Salsi, Donato Sperti, et al.. (2011). Two mode transmission at 2x100Gb/s, over 40km-long prototype few-mode fiber, using LCOS-based programmable mode multiplexer and demultiplexer. Optics Express. 19(17). 16593–16593. 145 indexed citations
11.
Cérou, Frédéric, et al.. (2011). On the Use of Smoothing to Improve the Performance of the Splitting Method. Stochastic Models. 27(4). 629–650. 3 indexed citations
12.
Cérou, Frédéric, Pierre Del Moral, & Arnaud Guyader. (2011). A nonasymptotic theorem for unnormalized Feynman–Kac particle models. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 47(3). 58 indexed citations
13.
Cérou, Frédéric, Pierre Del Moral, Teddy Furon, & Arnaud Guyader. (2011). Sequential Monte Carlo for rare event estimation. Statistics and Computing. 22(3). 795–808. 105 indexed citations
14.
15.
Cérou, Frédéric, Pierre Del Moral, Teddy Furon, & Arnaud Guyader. (2009). Rare event simulation for a static distribution. HAL (Le Centre pour la Communication Scientifique Directe). 16 indexed citations
16.
Cérou, Frédéric, Teddy Furon, & Arnaud Guyader. (2008). Experimental Assessment of the Reliability for Watermarking and Fingerprinting Schemes. HAL (Le Centre pour la Communication Scientifique Directe). 2008. 1–12. 11 indexed citations
17.
Cérou, Frédéric & Arnaud Guyader. (2007). Adaptive Multilevel Splitting for Rare Event Analysis. Stochastic Analysis and Applications. 25(2). 417–443. 144 indexed citations
18.
Cérou, Frédéric & Arnaud Guyader. (2007). Adaptive particle techniques and rare event estimation. ESAIM Proceedings. 19. 65–72. 12 indexed citations
19.
Cérou, Frédéric & Arnaud Guyader. (2006). Nearest neighbor classification in infinite dimension. ESAIM Probability and Statistics. 10. 340–355. 47 indexed citations
20.
Cérou, Frédéric, F. LeGland, Pierre Del Moral, & Pascal Lezaud. (2005). Limit theorems for the multilevel splitting algorithm in the simulation of rare events. Winter Simulation Conference. 682–691. 22 indexed citations

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.

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