Kathy McKeown

17 papers and 317 indexed citations i.

About

Kathy McKeown is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Kathy McKeown has authored 17 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Kathy McKeown’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Kathy McKeown is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Kathy McKeown collaborates with scholars based in United States, United Kingdom and France. Kathy McKeown's co-authors include Christopher Hidey, Smaranda Muresan, Tuhin Chakrabarty, Rohan Kshirsagar, Elena Musi, Sara Rosenthal, Noura Farra, Serina Chang, Dragomir Radev and Simone Teufel and has published in prestigious journals such as Language Resources and Evaluation, Journal of the Association for Information Science and Technology and Theory and applications of categories.

In The Last Decade

Co-authorship network of co-authors of Kathy McKeown i

Fields of papers citing papers by Kathy McKeown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kathy McKeown

Since Specialization
Citations

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