ESAIM Probability and Statistics

453 papers and 4.5k indexed citations
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About

The 453 papers published in ESAIM Probability and Statistics in the last decades have received a total of 4.5k indexed citations. Papers published in ESAIM Probability and Statistics usually cover Statistics and Probability (210 papers), Finance (172 papers) and Mathematical Physics (156 papers) specifically the topics of Stochastic processes and financial applications (139 papers), Stochastic processes and statistical mechanics (115 papers) and Statistical Methods and Inference (112 papers). The most active scholars publishing in ESAIM Probability and Statistics are Michel Ledoux, Jean Jacod, Arnaud Gloter, Marc Lavielle, Estelle Kuhn, Yannick Baraud, Gábor Lugosi, Stéphane Boucheron, Olivier Bousquet and Emmanuel Gobet.

In The Last Decade

ESAIM Probability and Statistics

402 papers receiving 4.3k citations

Fields of papers published in ESAIM Probability and Statistics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ESAIM Probability and Statistics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in ESAIM Probability and Statistics.

Countries where authors publish in ESAIM Probability and Statistics

Since Specialization
Citations

This map shows the geographic impact of research published in ESAIM Probability and Statistics. 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 papers published in ESAIM Probability and Statistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ESAIM Probability and Statistics 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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2026