Allen Institute

1.7k papers and 140.0k indexed citations i.

About

In recent decades, authors affiliated with Allen Institute have published 1.7k papers, which have received a total of 140.0k indexed citations. Scholars at this organization have produced 540 papers in Molecular Biology, 319 papers in Cognitive Neuroscience and 310 papers in Artificial Intelligence on the topics of Neural dynamics and brain function (229 papers), Topic Modeling (213 papers) and Natural Language Processing Techniques (189 papers). Their work is cited by papers focused on Molecular Biology (55.8k citations), Computer Vision and Pattern Recognition (18.8k citations) and Cognitive Neuroscience (16.3k citations). Authors at Allen Institute collaborate with scholars in United States, United Kingdom and Germany and have published in prestigious journals including Nature, Science and Cell. Some of Allen Institute's most productive authors include David M. Sabatini, Ali Farhadi, Santosh Divvala, Joseph Redmon, Ross Girshick, Robert A. Saxton, Hongkui Zeng, Christof Koch, Phillip A. Sharp and Roberto Zoncu.

In The Last Decade

Fields of papers published by authors at Allen Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Allen Institute

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Allen 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 Allen Institute 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 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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2025