Institute for Disease Modeling

343 papers and 12.5k indexed citations i.

About

In recent decades, authors affiliated with Institute for Disease Modeling have published 343 papers, which have received a total of 12.5k indexed citations. Scholars at this organization have produced 119 papers in Infectious Diseases, 92 papers in Epidemiology and 84 papers in Public Health, Environmental and Occupational Health on the topics of COVID-19 epidemiological studies (76 papers), Mosquito-borne diseases and control (63 papers) and Malaria Research and Control (49 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (3.7k citations), Public Health, Environmental and Occupational Health (2.3k citations) and Infectious Diseases (2.2k citations). Authors at Institute for Disease Modeling 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 The Lancet. Some of Institute for Disease Modeling's most productive authors include Joshua L. Proctor, J. Nathan Kutz, Steven L. Brunton, Benjamin M. Althouse, Philip A. Eckhoff, Samuel Rudy, Edward A. Wenger, Joel C. Miller, Bingni W. Brunton and Niall M. Mangan.

In The Last Decade

Fields of papers published by authors at Institute for Disease Modeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute for Disease Modeling 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 for Disease Modeling at the time of their publication.

Countries citing scholars working at Institute for Disease Modeling

Since Specialization
Citations

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