Electronic Journal of Probability

2.2k papers and 23.2k indexed citations i.

About

The 2.2k papers published in Electronic Journal of Probability in the last decades have received a total of 23.2k indexed citations. Papers published in Electronic Journal of Probability usually cover Mathematical Physics (1.6k papers), Statistics and Probability (979 papers) and Finance (670 papers) specifically the topics of Stochastic processes and statistical mechanics (1.4k papers), Stochastic processes and financial applications (639 papers) and Markov Chains and Monte Carlo Methods (575 papers). The most active scholars publishing in Electronic Journal of Probability are Robert C. Dalang, Oded Schramm, Jason Schweinsberg, Itaı Benjamini, Patrick Cheridito, Thomas G. Kurtz, Svante Janson, Radosław Adamczak, Russell Lyons and David Aldous.

In The Last Decade

Fields of papers published in Electronic Journal of Probability

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Electronic Journal of Probability. 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 Electronic Journal of Probability.

Countries where authors publish in Electronic Journal of Probability

Since Specialization
Citations

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