Twitter (United States)

About

In recent decades, authors affiliated with Twitter (United States) have published 7.2k papers, which have received a total of 64.8k indexed citations. Scholars at this organization have produced 1.7k papers in Sociology and Political Science, 781 papers in Political Science and International Relations and 625 papers in Public Health, Environmental and Occupational Health on the topics of Innovations in Medical Education (238 papers), Social Media and Politics (226 papers) and Suicide and Self-Harm Studies (159 papers). Their work is cited by papers focused on Public Health, Environmental and Occupational Health (10.1k citations), Sociology and Political Science (10.0k citations) and General Health Professions (6.5k citations). Authors at Twitter (United States) collaborate with scholars in United States, United Kingdom and Ireland and have published in prestigious journals including Proceedings of the National Academy of Sciences, Circulation and Nature Communications. Some of Twitter (United States)'s most productive authors include David A. Cook, Thomas J. Beckman, Darcy A. Reed, Ilene Harris, Bridget C. OʼBrien, Ryan P. Adams, Kevin Swersky, Bobak Shahriari, Nando de Freitas and Ziyu Wang.

In The Last Decade

Twitter (United States)

5.1k papers receiving 62.9k citations

Fields of papers published by authors at Twitter (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Twitter (United States) 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 Twitter (United States) at the time of their publication.

Countries citing scholars working at Twitter (United States)

Since Specialization

Citations

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