Françoise Pène

683 total citations
51 papers, 294 citations indexed

About

Françoise Pène is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Finance. According to data from OpenAlex, Françoise Pène has authored 51 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Mathematical Physics, 16 papers in Statistical and Nonlinear Physics and 8 papers in Finance. Recurrent topics in Françoise Pène's work include Mathematical Dynamics and Fractals (33 papers), Stochastic processes and statistical mechanics (30 papers) and Quantum chaos and dynamical systems (16 papers). Françoise Pène is often cited by papers focused on Mathematical Dynamics and Fractals (33 papers), Stochastic processes and statistical mechanics (30 papers) and Quantum chaos and dynamical systems (16 papers). Françoise Pène collaborates with scholars based in France, United States and Germany. Françoise Pène's co-authors include Loı̈c Hervé, Benoît Saussol, Nadine Guillotin‐Plantard, Pierre Ailliot, Fabienne Castell, Julie Bessac, Valérie Monbet, Bruno Schapira, Stéphane Le Borgne and Frank Aurzada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Chaos Solitons & Fractals.

In The Last Decade

Françoise Pène

45 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Françoise Pène France 10 220 77 75 35 32 51 294
Roland Zweimüller Austria 12 333 1.5× 40 0.5× 121 1.6× 62 1.8× 66 2.1× 27 389
Steven Kalikow United States 8 239 1.1× 70 0.9× 44 0.6× 17 0.5× 69 2.2× 17 281
Andrew R. Wade United Kingdom 8 132 0.6× 73 0.9× 27 0.4× 31 0.9× 15 0.5× 36 207
Örjan Stenflo Sweden 8 145 0.7× 45 0.6× 61 0.8× 12 0.3× 18 0.6× 16 209
Nicolai Haydn United States 13 361 1.6× 41 0.5× 202 2.7× 23 0.7× 65 2.0× 32 410
Hans Zessin Germany 10 185 0.8× 117 1.5× 69 0.9× 51 1.5× 43 1.3× 33 393
Bernhard Gittenberger Austria 10 167 0.8× 59 0.8× 21 0.3× 27 0.8× 37 1.2× 42 284
Arkady Tempelman United States 10 198 0.9× 30 0.4× 29 0.4× 13 0.4× 54 1.7× 30 254
Nicolas Broutin France 11 227 1.0× 131 1.7× 65 0.9× 16 0.5× 50 1.6× 33 329
Peter Eichelsbacher Germany 10 133 0.6× 179 2.3× 25 0.3× 59 1.7× 14 0.4× 39 276

Countries citing papers authored by Françoise Pène

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Pène

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Pène

This figure shows the co-authorship network connecting the top 25 collaborators of Françoise Pène. A scholar is included among the top collaborators of Françoise Pène 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 Françoise Pène. Françoise Pène 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.
Pène, Françoise & Benoît Saussol. (2024). Quantitative recurrence for $$T,T^{-1}$$ transformations. Probability Theory and Related Fields. 192(3-4). 1245–1282.
2.
Pène, Françoise. (2024). Probabilistic limit theorems via the operator perturbation method, under optimal moment assumptions. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 60(3).
3.
Melbourne, Ian, et al.. (2023). Local large deviations for periodic infinite horizon Lorentz gases. Journal d Analyse Mathématique. 152(1). 283–316. 1 indexed citations
4.
Pène, Françoise, et al.. (2021). Sharp Error Term in Local Limit Theorems and Mixing for Lorentz Gases with Infinite Horizon. Communications in Mathematical Physics. 382(3). 1625–1689. 8 indexed citations
5.
Pène, Françoise, et al.. (2021). Probabilistic potential theory and induction of dynamical systems. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 57(3). 1 indexed citations
6.
Pène, Françoise, et al.. (2019). Convergence to a -stable Lévy motion for chaotic billiards with several cusps at flat points. Nonlinearity. 33(2). 807–839. 5 indexed citations
7.
Bianchi, Alessandra, et al.. (2019). Continuous-time random walk between Lévy-spaced targets in the real line. Stochastic Processes and their Applications. 130(2). 708–732. 5 indexed citations
8.
Hervé, Loı̈c, Sana Louhichi, & Françoise Pène. (2019). Exponential growth of branching processes in a general context of lifetimes and birthtimes dependence. ESAIM Probability and Statistics. 23. 584–606. 1 indexed citations
9.
Pène, Françoise & Benoît Saussol. (2018). Spatio-temporal Poisson processes for visits to small sets. arXiv (Cornell University). 11 indexed citations
10.
Gantert, Nina, et al.. (2018). Arbitrary many walkers meet infinitely often in a subballistic random environment. arXiv (Cornell University). 1 indexed citations
11.
Guillotin‐Plantard, Nadine, Françoise Pène, & Martin Wendler. (2017). Empirical processes for recurrent and transient random walks in random\n scenery. arXiv (Cornell University).
12.
Aurzada, Frank, Nadine Guillotin‐Plantard, & Françoise Pène. (2017). Persistence probabilities for stationary increment processes. Stochastic Processes and their Applications. 128(5). 1750–1771. 9 indexed citations
13.
Pène, Françoise & Benoît Saussol. (2015). Poisson law for some non-uniformly hyperbolic dynamical systems with polynomial rate of mixing. Ergodic Theory and Dynamical Systems. 36(8). 2602–2626. 16 indexed citations
14.
Pène, Françoise, et al.. (2013). Random walk in random environment in a two-dimensional stratified medium with orientations. Electronic Journal of Probability. 18(none). 3 indexed citations
15.
Pène, Françoise, et al.. (2013). Degree and class of caustics by reflection for a generic source. Comptes Rendus Mathématique. 351(7-8). 295–297. 3 indexed citations
16.
Hervé, Loı̈c & Françoise Pène. (2012). On the Recurrence Set of Planar Markov Random Walks. Journal of Theoretical Probability. 26(1). 169–197. 3 indexed citations
17.
Castell, Fabienne, Nadine Guillotin‐Plantard, Françoise Pène, & Bruno Schapira. (2010). A local limit theorem for random walks in random scenery and on randomly\n oriented lattices. arXiv (Cornell University). 14 indexed citations
18.
Hervé, Loı̈c & Françoise Pène. (2010). The Nagaev-Guivarc’h method via the Keller-Liverani theorem. Bulletin de la Société mathématique de France. 138(3). 415–489. 30 indexed citations
19.
Hervé, Loı̈c & Françoise Pène. (2009). The Nagaev method via the Keller-Liverani theorem. arXiv (Cornell University). 3 indexed citations
20.
Pène, Françoise & Benoît Saussol. (2009). Quantitative recurrence in two-dimensional extended processes. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 45(4). 3 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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