Vincent Bansaye
- Mathematical Physics top 5%
- Finance top 5%
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Condensed Matter Physics
- Co-authors
- Sylvie MéléardPierre GabrielBertrand CloezFlorian SimatosJuan Carlos PardoJulien BerestyckiVladimir VatutinAmaury Lambert
- Topics
- Stochastic processes and statistical mechanics (27 papers)Stochastic processes and financial applications (9 papers)Markov Chains and Monte Carlo Methods (8 papers)
- Partner nations
- FranceChileUnited Kingdom
In The Last Decade
Vincent Bansaye
35 papers receiving 369 citations
Peers
Comparison fields: 5 of 66
- Mathematical Physics 272
- Finance 125
- Statistics and Probability 91
- Management Science and Operations Research 64
- Condensed Matter Physics 56
Countries citing papers authored by Vincent Bansaye
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | A sufficient condition for the tightness of time-inhomogeneous Markov processes | 1 |
| 11 | 12 | |
| 12 | 9 | |
| 13 | 26 | |
| 14 | Small positive values and lower large deviations for supercritical branching processes in random environment | 1 |
| 15 | 6 | |
| 16 | 0 | |
| 17 | 10 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | Large deviations for Branching Processes in Random Environment | 18 |
About Vincent Bansaye
Vincent Bansaye is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 40 papers that have together received 384 indexed citations. Recurring topics across this 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). The work is most often cited by research in Mathematical Physics (272 citations), Finance (125 citations) and Statistics and Probability (91 citations). Vincent Bansaye has collaborated with scholars based in France, Chile and United Kingdom. Frequent 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. Their work appears in journals such as Scientific Reports, Journal of The Royal Society Interface and Theoretical Population Biology.
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.