Dan Garrette

23 papers and 469 indexed citations i.

About

Dan Garrette is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dan Garrette has authored 23 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Dan Garrette’s work include Natural Language Processing Techniques (22 papers), Topic Modeling (19 papers) and Multimodal Machine Learning Applications (8 papers). Dan Garrette is often cited by papers focused on Natural Language Processing Techniques (22 papers), Topic Modeling (19 papers) and Multimodal Machine Learning Applications (8 papers). Dan Garrette collaborates with scholars based in United States, The Netherlands and Egypt. Dan Garrette's co-authors include Jason Baldridge, Jonathan H. Clark, Eunsol Choi, Michael Collins, Jennimaria Palomaki, Tom Kwiatkowski, Vitaly Nikolaev, Iulia Turc, John Wieting and Jason D. Mielens and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Co-authorship network of co-authors of Dan Garrette i

Fields of papers citing papers by Dan Garrette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Garrette. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan Garrette. The network helps show where Dan Garrette may publish in the future.

Countries citing papers authored by Dan Garrette

Since Specialization
Citations

This map shows the geographic impact of Dan Garrette's research. 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 Dan Garrette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Garrette 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