Kaitlyn Zhou

5 papers and 56 indexed citations i.

About

Kaitlyn Zhou is a scholar working on Artificial Intelligence, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Kaitlyn Zhou has authored 5 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in General Health Professions. Recurrent topics in Kaitlyn Zhou’s work include Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Public Relations and Crisis Communication (1 paper). Kaitlyn Zhou is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Public Relations and Crisis Communication (1 paper). Kaitlyn Zhou collaborates with scholars based in United States and United Kingdom. Kaitlyn Zhou's co-authors include Dan Jurafsky, Tom Wilson, Kate Starbird, Kawin Ethayarajh, Dallas Card, Tatsunori Hashimoto, Su Lin Blodgett, Adam Trischler, Kaheer Suleman and Alexandra Olteanu and has published in prestigious journals such as Proceedings of the ACM on Human-Computer Interaction, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Kaitlyn Zhou i

Fields of papers citing papers by Kaitlyn Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaitlyn Zhou

Since Specialization
Citations

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