Journal of Theoretical Probability

1.9k papers and 17.0k indexed citations i.

About

The 1.9k papers published in Journal of Theoretical Probability in the last decades have received a total of 17.0k indexed citations. Papers published in Journal of Theoretical Probability usually cover Mathematical Physics (1.1k papers), Finance (745 papers) and Statistics and Probability (630 papers) specifically the topics of Stochastic processes and statistical mechanics (708 papers), Stochastic processes and financial applications (661 papers) and Probability and Risk Models (308 papers). The most active scholars publishing in Journal of Theoretical Probability are Qi-Man Shao, Prasad Tetali, K. J. Falconer, Magda Peligrad, Richard C. Bradley, Goran Peškir, James Allen Fill, David Aldous, Wenbo V. Li and Miguel A. Arcones.

In The Last Decade

Fields of papers published in Journal of Theoretical Probability

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of Theoretical Probability

Since Specialization
Citations

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