Bernard Bercu

1.3k total citations
58 papers, 664 citations indexed

About

Bernard Bercu is a scholar working on Finance, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Bernard Bercu has authored 58 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Finance, 20 papers in Statistics and Probability and 18 papers in Artificial Intelligence. Recurrent topics in Bernard Bercu's work include Stochastic processes and financial applications (21 papers), Probability and Risk Models (14 papers) and Stochastic processes and statistical mechanics (14 papers). Bernard Bercu is often cited by papers focused on Stochastic processes and financial applications (21 papers), Probability and Risk Models (14 papers) and Stochastic processes and statistical mechanics (14 papers). Bernard Bercu collaborates with scholars based in France, Mexico and Austria. Bernard Bercu's co-authors include Alain Rouault, Fabrice Gamboa, Nicolas Savy, Adrien Richou, Laure Coutin, Emmanuel Rio, Bernard Delyon, Marc Lavielle, Anne Gégout‐Petit and Benoîte de Saporta and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and The Annals of Statistics.

In The Last Decade

Bernard Bercu

52 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Bercu France 15 300 259 180 137 129 58 664
Fuqing Gao China 11 276 0.9× 123 0.5× 135 0.8× 121 0.9× 50 0.4× 56 464
Konstantin Borovkov Australia 15 242 0.8× 245 0.9× 338 1.9× 243 1.8× 100 0.8× 83 728
Sana Louhichi France 7 284 0.9× 238 0.9× 145 0.8× 141 1.0× 145 1.1× 32 517
Valentine Genon‐Catalot France 15 512 1.7× 485 1.9× 106 0.6× 75 0.5× 157 1.2× 48 786
Mikhail Lifshits Russia 14 414 1.4× 251 1.0× 406 2.3× 161 1.2× 98 0.8× 100 1.0k
Florence Merlevède France 18 311 1.0× 384 1.5× 445 2.5× 163 1.2× 102 0.8× 68 840
Alexander Novikov Russia 15 292 1.0× 100 0.4× 91 0.5× 87 0.6× 41 0.3× 65 536
Paolo Dai Pra Italy 14 165 0.6× 162 0.6× 208 1.2× 55 0.4× 65 0.5× 58 681
Uwe Küchler Germany 13 633 2.1× 230 0.9× 147 0.8× 200 1.5× 68 0.5× 44 1.0k
Víctor Peña United States 11 174 0.6× 293 1.1× 134 0.7× 141 1.0× 138 1.1× 38 633

Countries citing papers authored by Bernard Bercu

Since Specialization
Citations

This map shows the geographic impact of Bernard Bercu'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 Bernard Bercu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Bercu more than expected).

Fields of papers citing papers by Bernard Bercu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernard Bercu. 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 Bernard Bercu. The network helps show where Bernard Bercu may publish in the future.

Co-authorship network of co-authors of Bernard Bercu

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Bercu. A scholar is included among the top collaborators of Bernard Bercu 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 Bernard Bercu. Bernard Bercu 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.
Bercu, Bernard. (2025). On the multidimensional elephant random walk with stops. Stochastic Processes and their Applications. 189. 104692–104692. 1 indexed citations
2.
Bercu, Bernard & Stefano Favaro. (2024). A martingale approach to Gaussian fluctuations and laws of iterated logarithm for Ewens–Pitman model. Stochastic Processes and their Applications. 178. 104493–104493.
3.
Bercu, Bernard, Michel Bonnefont, & Adrien Richou. (2024). Sharp large deviations and concentration inequalities for the number of descents in a random permutation. Journal of Applied Probability. 61(3). 810–833.
4.
Bercu, Bernard, et al.. (2024). Monge-Kantorovich superquantiles and expected shortfalls with applications to multivariate risk measurements. Electronic Journal of Statistics. 18(2). 2 indexed citations
5.
Bercu, Bernard, et al.. (2022). Further results on the minimal random walk. Journal of Physics A Mathematical and Theoretical. 55(41). 415001–415001. 1 indexed citations
6.
Bercu, Bernard, et al.. (2021). Asymptotic analysis of random walks on ice and graphite. Journal of Mathematical Physics. 62(10). 2 indexed citations
7.
Bercu, Bernard & Jérémie Bigot. (2018). Asymptotic distribution and convergence rates of stochastic algorithms\n for entropic optimal transportation between probability measures. arXiv (Cornell University). 5 indexed citations
8.
Bercu, Bernard, et al.. (2014). A Rademacher–Menchov approach for random coefficient bifurcating autoregressive processes. Stochastic Processes and their Applications. 125(4). 1218–1243. 5 indexed citations
9.
Bercu, Bernard, Laure Coutin, & Nicolas Savy. (2012). Sharp large deviations for the non-stationary Ornstein–Uhlenbeck process. Stochastic Processes and their Applications. 122(10). 3393–3424. 21 indexed citations
10.
Bercu, Bernard, Pierre Del Moral, & Randal Douc. (2012). Fluctuations of interacting Markov chain Monte Carlo methods. Stochastic Processes and their Applications. 122(4). 1304–1331. 1 indexed citations
11.
Bercu, Bernard, Ivan Nourdin, & Murad S. Taqqu. (2010). Almost sure central limit theorems on the Wiener space. Stochastic Processes and their Applications. 120(9). 1607–1628. 10 indexed citations
12.
Bercu, Bernard, Pierre Del Moral, & Randal Douc. (2009). A Functional Central Limit Theorem for a Class of Interacting Markov Chain Monte Carlo Methods. Electronic Journal of Probability. 14(none). 7 indexed citations
13.
Bercu, Bernard, et al.. (2009). On the Almost Sure Central Limit Theorem for Vector Martingales: Convergence of Moments and Statistical Applications. Journal of Applied Probability. 46(1). 151–169. 1 indexed citations
14.
Bercu, Bernard, et al.. (2009). On the Almost Sure Central Limit Theorem for Vector Martingales: Convergence of Moments and Statistical Applications. Journal of Applied Probability. 46(1). 151–169. 6 indexed citations
15.
Bercu, Bernard. (2003). On the convergence of moments in the almost sure central limit theorem for martingales with statistical applications. Stochastic Processes and their Applications. 111(1). 157–173. 20 indexed citations
16.
Bercu, Bernard & Alain Rouault. (2002). Sharp Large Deviations for the Ornstein--Uhlenbeck Process. Theory of Probability and Its Applications. 46(1). 1–19. 62 indexed citations
17.
Bercu, Bernard & Alain Rouault. (2001). Sharp Large Deviations for the Ornstein - Uhlenbeck Process. Теория вероятностей и ее применения. 46(1). 74–93. 5 indexed citations
18.
Bercu, Bernard, Fabrice Gamboa, & Alain Rouault. (1997). Large deviations for quadratic forms of stationary Gaussian processes. Stochastic Processes and their Applications. 71(1). 75–90. 67 indexed citations
19.
Bercu, Bernard, et al.. (1992). Moindres carrés pondérés et poursuite. French digital mathematics library (Numdam). 28(3). 403–430. 5 indexed citations
20.
Bercu, Bernard. (1991). Sur l'estimateur des moindres carrés généralisé d'un modèle ARMAX. Application à l'identification des modèles ARMA. French digital mathematics library (Numdam). 27(3). 425–443. 2 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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