The Alan Turing Institute

2.4k papers and 42.8k indexed citations i.

About

In recent decades, authors affiliated with The Alan Turing Institute have published 2.4k papers, which have received a total of 42.8k indexed citations. Scholars at this organization have produced 645 papers in Artificial Intelligence, 223 papers in Economics and Econometrics and 215 papers in Sociology and Political Science on the topics of Topic Modeling (109 papers), Complex Network Analysis Techniques (100 papers) and Ethics and Social Impacts of AI (89 papers). Their work is cited by papers focused on Artificial Intelligence (10.8k citations), Sociology and Political Science (3.9k citations) and Molecular Biology (3.5k citations). Authors at The Alan Turing Institute collaborate with scholars in United Kingdom, United States and Germany and have published in prestigious journals including Nature, Science and Cell. Some of The Alan Turing Institute's most productive authors include Luciano Floridi, Mariarosaria Taddeo, Sandra Wachter, Mihaela van der Schaar, Mark Girolami, Mark Graham, Corinne Cath, Nasir Rajpoot, Brent Mittelstadt and Ginestra Bianconi.

In The Last Decade

Fields of papers published by authors at The Alan Turing Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with The Alan Turing 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 The Alan Turing Institute at the time of their publication.

Countries citing scholars working at The Alan Turing Institute

Since Specialization
Citations

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