International Statistical Review

1.9k papers and 66.8k indexed citations i.

About

The 1.9k papers published in International Statistical Review in the last decades have received a total of 66.8k indexed citations. Papers published in International Statistical Review usually cover Statistics and Probability (786 papers), Artificial Intelligence (316 papers) and Management Science and Operations Research (227 papers) specifically the topics of Statistical Methods and Bayesian Inference (283 papers), Advanced Statistical Methods and Models (244 papers) and Statistical Methods and Inference (225 papers). The most active scholars publishing in International Statistical Review are M. G. Kendall, P. A. P. Moran, Vijay K. Rohatgi, T. N. E. Greville, Adi Ben-Israel, David A. Binder, Marius Iosifescu, Roderick J. A. Little, Evelyn Fix and J. L. Hodges.

In The Last Decade

Fields of papers published in International Statistical Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Statistical Review. 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 International Statistical Review.

Countries where authors publish in International Statistical Review

Since Specialization
Citations

This map shows the geographic impact of research published in International Statistical Review. 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 International Statistical Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites International Statistical Review 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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2025