Allen Institute for Artificial Intelligence

511 papers and 22.4k indexed citations i.

About

In recent decades, authors affiliated with Allen Institute for Artificial Intelligence have published 511 papers, which have received a total of 22.4k indexed citations. Scholars at this organization have produced 379 papers in Artificial Intelligence, 114 papers in Computer Vision and Pattern Recognition and 34 papers in Information Systems on the topics of Topic Modeling (292 papers), Natural Language Processing Techniques (237 papers) and Multimodal Machine Learning Applications (89 papers). Their work is cited by papers focused on Artificial Intelligence (18.6k citations), Computer Vision and Pattern Recognition (5.7k citations) and Information Systems (2.4k citations). Authors at Allen Institute for Artificial Intelligence collaborate with scholars in United States, Israel and United Kingdom and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Nature Communications. Some of Allen Institute for Artificial Intelligence's most productive authors include Luke Zettlemoyer, Yejin Choi, Noah A. Smith, Mike Uschold, Michael Grüninger, Kyle Lo, Arman Cohan, Matt Gardner, Iz Beltagy and Matthew E. Peters.

In The Last Decade

Fields of papers published by authors at Allen Institute for Artificial Intelligence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Allen Institute for Artificial Intelligence 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 Allen Institute for Artificial Intelligence at the time of their publication.

Countries citing scholars working at Allen Institute for Artificial Intelligence

Since Specialization

Citations

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