Tom Kwiatkowski

21 papers and 1.9k indexed citations i.

About

Tom Kwiatkowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Tom Kwiatkowski has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Tom Kwiatkowski’s work include Natural Language Processing Techniques (20 papers), Topic Modeling (18 papers) and Speech and dialogue systems (6 papers). Tom Kwiatkowski is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (18 papers) and Speech and dialogue systems (6 papers). Tom Kwiatkowski collaborates with scholars based in United States, United Kingdom and South Korea. Tom Kwiatkowski's co-authors include Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Michael Collins, Jennimaria Palomaki, Luke Zettlemoyer, Eunsol Choi, Ankur P. Parikh, Ellie Pavlick and Mark Steedman and has published in prestigious journals such as The Journal of Physiology, Cognition and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Tom Kwiatkowski i

Fields of papers citing papers by Tom Kwiatkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Kwiatkowski. 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 Tom Kwiatkowski. The network helps show where Tom Kwiatkowski may publish in the future.

Countries citing papers authored by Tom Kwiatkowski

Since Specialization
Citations

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