Twitter (United States)

705 papers and 12.9k indexed citations i.

About

In recent decades, authors affiliated with Twitter (United States) have published 705 papers, which have received a total of 12.9k indexed citations. Scholars at this organization have produced 124 papers in Surgery, 117 papers in Artificial Intelligence and 81 papers in Cardiology and Cardiovascular Medicine on the topics of Social Media and Politics (48 papers), Communication and COVID-19 Impact (28 papers) and Cardiac, Anesthesia and Surgical Outcomes (25 papers). Their work is cited by papers focused on Artificial Intelligence (3.2k citations), Computer Vision and Pattern Recognition (2.4k citations) and Sociology and Political Science (1.7k citations). Authors at Twitter (United States) collaborate with scholars in United States, Spain and United Kingdom and have published in prestigious journals including Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American College of Cardiology. Some of Twitter (United States)'s most productive authors include Ryan P. Adams, Kevin Swersky, Ziyu Wang, Nando de Freitas, Bobak Shahriari, Bernard J. Jansen, Mimi Zhang, Hugo Larochelle, Ole Winther and Søren Kaae Sønderby.

In The Last Decade

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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