Probability Theory and Related Fields

2.9k papers and 68.8k indexed citations i.

About

The 2.9k papers published in Probability Theory and Related Fields in the last decades have received a total of 68.8k indexed citations. Papers published in Probability Theory and Related Fields usually cover Mathematical Physics (1.9k papers), Statistics and Probability (1.2k papers) and Finance (790 papers) specifically the topics of Stochastic processes and statistical mechanics (1.4k papers), Stochastic processes and financial applications (726 papers) and Markov Chains and Monte Carlo Methods (585 papers). The most active scholars publishing in Probability Theory and Related Fields are Franco Flandoli, Étienne Pardoux, Н. В. Крылов, Shigē Péng, Jim Pitman, Scott Sheffield⋆, Michel Talagrand, Jiongmin Yong, Martina Zähle and Gérard Ben Arous.

In The Last Decade

Fields of papers published in Probability Theory and Related Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Probability Theory and Related Fields. 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 Probability Theory and Related Fields.

Countries where authors publish in Probability Theory and Related Fields

Since Specialization
Citations

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