Vincent Bansaye

844 total citations
40 papers, 384 citations indexed

About

Vincent Bansaye is a scholar working on Mathematical Physics, Statistics and Probability and Finance. According to data from OpenAlex, Vincent Bansaye has authored 40 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Mathematical Physics, 10 papers in Statistics and Probability and 9 papers in Finance. Recurrent topics in Vincent Bansaye's work include Stochastic processes and statistical mechanics (27 papers), Stochastic processes and financial applications (9 papers) and Markov Chains and Monte Carlo Methods (8 papers). Vincent Bansaye is often cited by papers focused on Stochastic processes and statistical mechanics (27 papers), Stochastic processes and financial applications (9 papers) and Markov Chains and Monte Carlo Methods (8 papers). Vincent Bansaye collaborates with scholars based in France, Chile and United Kingdom. Vincent Bansaye's co-authors include Sylvie Méléard, Pierre Gabriel, Bertrand Cloez, Florian Simatos, Juan Carlos Pardo, Julien Berestycki, Vladimir Vatutin, Amaury Lambert, Sylvie Méléard and Mathieu Richard and has published in prestigious journals such as Scientific Reports, Journal of The Royal Society Interface and Theoretical Population Biology.

In The Last Decade

Vincent Bansaye

35 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Bansaye France 13 272 125 91 64 56 40 384
Servet Martı́nez Chile 11 233 0.9× 95 0.8× 93 1.0× 24 0.4× 38 0.7× 42 447
Julien Berestycki France 13 369 1.4× 110 0.9× 99 1.1× 28 0.4× 134 2.4× 28 459
Nikolay M. Yanev Bulgaria 10 256 0.9× 67 0.5× 132 1.5× 39 0.6× 59 1.1× 48 319
Anja Sturm Germany 8 115 0.4× 221 1.8× 44 0.5× 30 0.5× 29 0.5× 21 420
Denis Villemonais France 11 207 0.8× 90 0.7× 98 1.1× 15 0.2× 24 0.4× 31 277
Götz Kersting Germany 14 420 1.5× 123 1.0× 223 2.5× 152 2.4× 106 1.9× 50 564
Sylvie Rœlly France 11 230 0.8× 125 1.0× 98 1.1× 16 0.3× 91 1.6× 37 316
Byron Schmuland Canada 12 224 0.8× 145 1.2× 128 1.4× 35 0.5× 16 0.3× 27 463
Nathanaël Berestycki United Kingdom 13 429 1.6× 59 0.5× 191 2.1× 16 0.3× 117 2.1× 45 543
Kiyoshi Kawazu Japan 6 229 0.8× 117 0.9× 78 0.9× 33 0.5× 59 1.1× 11 282

Countries citing papers authored by Vincent Bansaye

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Bansaye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Bansaye

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Bansaye. A scholar is included among the top collaborators of Vincent Bansaye 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 Vincent Bansaye. Vincent Bansaye 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.
Bansaye, Vincent, et al.. (2024). Branching processes and homogenization for epidemics on spatial random graphs. Electronic Journal of Probability. 29(none).
2.
Girel, Simon, Vincent Bansaye, Catherine Lacout, et al.. (2021). Multistage hematopoietic stem cell regulation in the mouse: A combined biological and mathematical approach. iScience. 24(12). 103399–103399. 1 indexed citations
3.
Bansaye, Vincent, et al.. (2019). Extinction rate of continuous state branching processes in critical\n L\\'evy environments. arXiv (Cornell University). 4 indexed citations
4.
Bansaye, Vincent. (2018). Ancestral Lineages and Limit Theorems for Branching Markov Chains in Varying Environment. Journal of Theoretical Probability. 32(1). 249–281. 9 indexed citations
5.
Billiard, Sylvain, Vincent Bansaye, & Jean-René Chazottes. (2018). Rejuvenating functional responses with renewal theory. Journal of The Royal Society Interface. 15(146). 20180239–20180239. 4 indexed citations
6.
Bansaye, Vincent & Vladimir Vatutin. (2016). On the survival probability for a class of subcritical branching processes in random environment. Bernoulli. 23(1). 12 indexed citations
7.
Bansaye, Vincent & Sylvie Méléard. (2015). Stochastic Models for Structured Populations: Scaling Limits and Long Time Behavior. arXiv (Cornell University). 18 indexed citations
8.
Bansaye, Vincent. (2015). Approximation of stochastic processes by non-expansive flows and coming\n down from infinity. arXiv (Cornell University). 3 indexed citations
9.
Bansaye, Vincent & Florian Simatos. (2014). A sufficient condition for the tightness of time-inhomogeneous Markov processes. arXiv (Cornell University). 1 indexed citations
10.
Bansaye, Vincent, et al.. (2014). Small positive values for supercritical branching processes in random environment. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 50(3). 12 indexed citations
11.
Bansaye, Vincent, et al.. (2013). Lower large deviations for supercritical branching processes in random environment. Proceedings of the Steklov Institute of Mathematics. 282(1). 15–34. 26 indexed citations
12.
Bansaye, Vincent, et al.. (2013). On the extinction of continuous state branching processes with catastrophes. Electronic Journal of Probability. 18(none). 27 indexed citations
13.
Bansaye, Vincent & Amaury Lambert. (2013). New approaches to source–sink metapopulations decoupling demography and dispersal. Theoretical Population Biology. 88. 31–46. 9 indexed citations
14.
Bansaye, Vincent, et al.. (2011). Small positive values and lower large deviations for supercritical branching processes in random environment. arXiv (Cornell University). 1 indexed citations
15.
Dombry, Clément, Christian Mazza, & Vincent Bansaye. (2011). Phenotypic diversity and population growth in a fluctuating environment. Advances in Applied Probability. 43(2). 375–398.
16.
Bansaye, Vincent. (2009). Cell contamination and branching processes in a random environment\nwith immigration. Project Euclid (Cornell University). 19 indexed citations
17.
Bansaye, Vincent. (2009). Cell contamination and branching processes in a random environment with immigration. Advances in Applied Probability. 41(4). 1059–1081. 10 indexed citations
18.
Bansaye, Vincent. (2009). On a Model for the Storage of Files on a Hardware: Statistics at a Fixed Time and Asymptotic Regimes. Journal of Probability and Statistics. 2009(1). 5 indexed citations
19.
Bansaye, Vincent. (2008). Surviving particles for subcritical branching processes in random environment. Stochastic Processes and their Applications. 119(8). 2436–2464. 6 indexed citations
20.
Bansaye, Vincent & Julien Berestycki. (2008). Large deviations for Branching Processes in Random Environment. ArXiv.org. 18 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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