François Coquet
- Finance top 2%
- Management Science and Operations Research top 5%
- Applied Mathematics top 5%
- Control and Systems Engineering
- Economics and Econometrics
- Co-authors
- Jean MéminYing HuShigē PéngPhilippe BriandVigirdas MackevičiusLeszek SłomińskiClaire PetitSylvaine Cordier
- Topics
- Stochastic processes and financial applications (8 papers)Statistical Methods and Bayesian Inference (2 papers)Mathematical Dynamics and Fractals (2 papers)
- Journals
- American Journal of EpidemiologyProbability Theory and Related FieldsStochastic Processes and their Applications
- Partner nations
- FranceChinaUnited States
In The Last Decade
François Coquet
12 papers receiving 335 citations
Peers
Comparison fields: 5 of 43
- Finance 282
- Management Science and Operations Research 118
- Applied Mathematics 72
- Control and Systems Engineering 53
- Economics and Econometrics 52
Countries citing papers authored by François Coquet
This map shows the geographic impact of François Coquet'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 François Coquet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Coquet more than expected).
Fields of papers citing papers by François Coquet
This network shows the impact of papers produced by François Coquet. 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 François Coquet. The network helps show where François Coquet may publish in the future.
Co-authorship network of co-authors of François Coquet
This figure shows the co-authorship network connecting the top 25 collaborators of François Coquet. A scholar is included among the top collaborators of François Coquet 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 François Coquet. François Coquet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 28 | |
| 4 | 15 | |
| 5 | 8 | |
| 6 | 140 | |
| 7 | 23 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 98 | |
| 11 | 9 | |
| 12 | 19 |
About François Coquet
François Coquet is a scholar working on Finance, Mathematical Physics and Statistics and Probability, having authored 12 papers that have together received 354 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Statistical Methods and Bayesian Inference (2 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Finance (282 citations), Management Science and Operations Research (118 citations) and Modeling and Simulation (35 citations). François Coquet has collaborated with scholars based in France, China and United States. Frequent co-authors include Jean Mémin, Ying Hu, Shigē Péng, Philippe Briand, Vigirdas Mackevičius, Leszek Słomiński, Claire Petit, Sylvaine Cordier, Marta Blangiardo and Cécile Chevrier. Their work appears in journals such as American Journal of Epidemiology, Probability Theory and Related Fields and Stochastic Processes and their Applications.
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.