Vincent Bansaye

121 total papers · 840 total citations
40 papers, 376 citations indexed

About

Vincent Bansaye is a scholar working on Mathematical Physics, Finance and Statistics and Probability. According to data from OpenAlex, Vincent Bansaye has authored 40 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Mathematical Physics, 10 papers in Finance and 10 papers in Statistics and Probability. Recurrent topics in Vincent Bansaye's work include Stochastic processes and statistical mechanics (27 papers), Stochastic processes and financial applications (10 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 (10 papers) and Markov Chains and Monte Carlo Methods (8 papers). Vincent Bansaye collaborates with scholars based in France, China and Switzerland. 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 361 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Vincent Bansaye	272	124	98	62	57	40	376
A. Joffe	262 1.0×	93 0.8×	123 1.3×	58 0.9×	77 1.4×	25	437
Jean‐François Delmas	290 1.1×	58 0.5×	159 1.6×	35 0.6×	87 1.5×	53	407
Anja Sturm	116 0.4×	221 1.8×	43 0.4×	30 0.5×	30 0.5×	21	420
Hermann Rost	258 0.9×	65 0.5×	175 1.8×	22 0.4×	119 2.1×	14	410
Pierre-André Zitt	140 0.5×	51 0.4×	187 1.9×	15 0.2×	29 0.5×	23	399
Leonid Mytnik	279 1.0×	315 2.5×	57 0.6×	30 0.5×	79 1.4×	42	444
Manuel Mota	196 0.7×	34 0.3×	81 0.8×	42 0.7×	22 0.4×	48	357
Mansoor Saburov	210 0.8×	43 0.3×	102 1.0×	21 0.3×	19 0.3×	75	439
A. M. Zubkov	274 1.0×	40 0.3×	128 1.3×	48 0.8×	65 1.1×	41	400
Erik Andersén	202 0.7×	53 0.4×	79 0.8×	64 1.0×	33 0.6×	15	439

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

Loading papers...

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.

Explore authors with similar magnitude of impact