Stochastic Models

578 papers and 4.9k indexed citations
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About

The 578 papers published in Stochastic Models in the last decades have received a total of 4.9k indexed citations. Papers published in Stochastic Models usually cover Management Information Systems (250 papers), Management Science and Operations Research (223 papers) and Statistics and Probability (155 papers) specifically the topics of Advanced Queuing Theory Analysis (250 papers), Probability and Risk Models (175 papers) and Stochastic processes and financial applications (107 papers). The most active scholars publishing in Stochastic Models are Qihe Tang, Soohan Ahn, V. Ramaswami, Sidney I. Resnick, Marcin Magdziarz, Nigel Bean, Yiqing Chen, Kam Chuen Yuen, Yiqiang Q. Zhao and Amaury Lambert.

In The Last Decade

Stochastic Models

510 papers receiving 4.6k citations

Fields of papers published in Stochastic Models

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Stochastic Models. 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 Stochastic Models.

Countries where authors publish in Stochastic Models

Since Specialization
Citations

This map shows the geographic impact of research published in Stochastic Models. 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 Stochastic Models with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stochastic Models 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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2026