Countries where authors publish in Advances in Applied Probability
Since Specialization
Citations
This map shows the geographic impact of research published in Advances in 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 Advances in 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 Advances in Applied Probability more than expected).
Fields of papers published in Advances in Applied Probability
This network shows the impact of papers published in Advances in 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 Advances in Applied Probability.
About Advances in Applied Probability
The 5.0k papers published in Advances in Applied Probability in the last decades have received a total of 76.7k indexed citations . Papers published in Advances in Applied Probability usually cover Mathematical Physics (1.6k papers), Statistics and Probability (1.4k papers), Management Information Systems (1.0k papers), Management Science and Operations Research (1.2k papers) and Finance (797 papers) specifically the topics of Stochastic processes and statistical mechanics (1.5k papers), Advanced Queuing Theory Analysis (994 papers), Probability and Risk Models (879 papers), Point processes and geometric inequalities (645 papers), Stochastic processes and financial applications (581 papers), Bayesian Methods and Mixture Models (576 papers), Markov Chains and Monte Carlo Methods (465 papers) and Random Matrices and Applications (419 papers). The most active scholars publishing in Advances in Applied Probability are G. Matheron, Edward C. van der Meulen, F. P. Kelly, Ward Whitt, Richard L. Tweedie, Marcel F. Neuts, Sidney I. Resnick, Keith J. Worsley, Jesper Möller and Sean Meyn.
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.