Journal of Applied Probability

9.2k papers and 113.6k indexed citations i.

About

The 9.2k papers published in Journal of Applied Probability in the last decades have received a total of 113.6k indexed citations. Papers published in Journal of Applied Probability usually cover Mathematical Physics (3.0k papers), Statistics and Probability (2.9k papers) and Management Science and Operations Research (2.5k papers) specifically the topics of Stochastic processes and statistical mechanics (2.7k papers), Probability and Risk Models (1.8k papers) and Advanced Queuing Theory Analysis (1.7k papers). The most active scholars publishing in Journal of Applied Probability are J. F. C. Kingmán, B. D. Ripley, Thomas G. Kurtz, Marcel F. Neuts, E. Seneta, Ward Whitt, Masaaki Kijima, Peter Whittle, E. J. Hannan and Richard Weber.

In The Last Decade

Fields of papers published in Journal of Applied Probability

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of Applied Probability

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Applied 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 Applied 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 Applied 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2025