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).
Fields of papers published by authors at Allen Institute for Artificial Intelligence
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.
About Allen Institute for Artificial Intelligence
In recent decades, authors affiliated with Allen Institute for Artificial Intelligence have published 1.2k papers, which have received a total of 109.6k indexed citations . Scholars at this organization have produced 830 papers in Artificial Intelligence, 204 papers in Computer Vision and Pattern Recognition, 56 papers in Safety Research, 91 papers in Information Systems and 13 papers in General Social Sciences on the topics of Topic Modeling (570 papers), Natural Language Processing Techniques (350 papers), Multimodal Machine Learning Applications (125 papers), Domain Adaptation and Few-Shot Learning (57 papers), Information Retrieval and Search Behavior (53 papers), Explainable Artificial Intelligence (XAI) (52 papers), Ethics and Social Impacts of AI (51 papers) and Speech and dialogue systems (47 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (37.6k citations), Artificial Intelligence (50.3k citations), Health Informatics (840 citations), Safety Research (3.4k citations) and Industrial and Manufacturing Engineering (2.5k 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 Transactions of the Association for Computational Linguistics, Journal of Advances in Modeling Earth Systems, Geophysical Research Letters, Communications of the ACM and Nature. Some of Allen Institute for Artificial Intelligence's most productive authors include Ali Farhadi, Joseph Redmon, Santosh Divvala, Ross Girshick, Luke Zettlemoyer, Yejin Choi, Matt Gardner, Noah A. Smith, Matthew E. Peters and Hannaneh Hajishirzi.
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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