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).
Fields of papers published in Journal of Applied Probability
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.
About Journal of Applied Probability
The 5.9k papers published in Journal of Applied Probability in the last decades have received a total of 103.6k indexed citations . Papers published in Journal of Applied Probability usually cover Statistics and Probability (2.2k papers), Mathematical Physics (1.8k papers), Management Information Systems (1.1k papers), Management Science and Operations Research (853 papers) and Finance (492 papers) specifically the topics of Probability and Statistical Research (1.9k papers), Stochastic processes and statistical mechanics (1.7k papers), Advanced Queuing Theory Analysis (1.1k papers), Probability and Risk Models (748 papers), Stochastic processes and financial applications (470 papers), Point processes and geometric inequalities (465 papers), Reliability and Maintenance Optimization (394 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (257 papers). The most active scholars publishing in Journal of Applied Probability are J. F. C. Kingmán, Brian David Ripley, Thomas G. Kurtz, Marcel F. Neuts, Peter J. L. Whittle, Masaaki Kijima, Ward Whitt, Eugene B. Seneta, E. J. Hannan and Richard Weber.
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.