François Coquet

About

François Coquet is a scholar working on Finance, Mathematical Physics and Management Science and Operations Research. According to data from OpenAlex, François Coquet has authored 13 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Finance, 6 papers in Mathematical Physics and 3 papers in Management Science and Operations Research. Recurrent topics in François Coquet’s work include Stochastic processes and financial applications (8 papers), Statistical Methods and Bayesian Inference (3 papers) and Inverse Problems in Mathematical Physics and Imaging (2 papers). François Coquet is often cited by papers focused on Stochastic processes and financial applications (8 papers), Statistical Methods and Bayesian Inference (3 papers) and Inverse Problems in Mathematical Physics and Imaging (2 papers). François Coquet collaborates with scholars based in France, China and United States. François Coquet's co-authors include Jean Mémin, Shigē Péng, Ying Hu, Philippe Briand, Vigirdas Mackevičius, Leszek Słomiński, Sylvaine Cordier, Marta Blangiardo, Claire Petit and Sylvia Richardson and has published in prestigious journals such as American Journal of Epidemiology, Probability Theory and Related Fields and Stochastic Processes and their Applications.

In The Last Decade

Co-authorship network of co-authors of François Coquet i

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Fields of papers citing papers by François Coquet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by François Coquet

Since Specialization

Citations

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).

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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