Open Data Institute

486 papers and 10.4k indexed citations i.

About

In recent decades, authors affiliated with Open Data Institute have published 486 papers, which have received a total of 10.4k indexed citations. Scholars at this organization have produced 64 papers in Epidemiology, 63 papers in Infectious Diseases and 61 papers in Molecular Biology on the topics of COVID-19 epidemiological studies (24 papers), Mosquito-borne diseases and control (24 papers) and Malaria Research and Control (20 papers). Their work is cited by papers focused on Infectious Diseases (1.6k citations), Molecular Biology (1.5k citations) and Public Health, Environmental and Occupational Health (1.1k citations). Authors at Open Data Institute collaborate with scholars in United Kingdom, United States and The Netherlands and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of Open Data Institute's most productive authors include Thomas E. Nichols, Stephen M. Smith, David W. Eyre, Alexander I. Young, Karla L. Miller, Fidel Alfaro‐Almagro, Tim Lucas, T. Déirdre Hollingsworth, Katrina Lythgoe and Matt J. Keeling.

In The Last Decade

Fields of papers published by authors at Open Data Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Open Data Institute 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 Open Data Institute at the time of their publication.

Countries citing scholars working at Open Data Institute

Since Specialization
Citations

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