Institute of Mathematical Statistics

992 papers and 36.5k indexed citations i.

About

In recent decades, authors affiliated with Institute of Mathematical Statistics have published 992 papers, which have received a total of 36.5k indexed citations. Scholars at this organization have produced 192 papers in Geometry and Topology, 185 papers in Mathematical Physics and 161 papers in Computational Theory and Mathematics on the topics of Limits and Structures in Graph Theory (75 papers), Finite Group Theory Research (66 papers) and Statistical Methods and Inference (54 papers). Their work is cited by papers focused on Economics and Econometrics (10.8k citations), General Economics, Econometrics and Finance (6.9k citations) and Finance (4.6k citations). Authors at Institute of Mathematical Statistics collaborate with scholars in United States, United Kingdom and Australia and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research. Some of Institute of Mathematical Statistics's most productive authors include Søren Johansen, Katarina Jusélius, Sanjaya Lall, Alan F. Beardon, Stephen P. Brooks, Andrew Gelman, J. W. S. Cassels, Georg Lindgren, Egon Balas and Béla Bollobás.

In The Last Decade

Fields of papers published by authors at Institute of Mathematical Statistics

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Mathematical Statistics at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institute of Mathematical Statistics at the time of their publication.

Countries citing scholars working at Institute of Mathematical Statistics

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Institute of Mathematical Statistics. 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 produced at Institute of Mathematical Statistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute of Mathematical Statistics 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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