Eunsol Choi

About

Eunsol Choi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Eunsol Choi has authored 48 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Eunsol Choi’s work include Topic Modeling (41 papers), Natural Language Processing Techniques (37 papers) and Multimodal Machine Learning Applications (16 papers). Eunsol Choi is often cited by papers focused on Topic Modeling (41 papers), Natural Language Processing Techniques (37 papers) and Multimodal Machine Learning Applications (16 papers). Eunsol Choi collaborates with scholars based in United States, Israel and Japan. Eunsol Choi's co-authors include Luke Zettlemoyer, Daniel S. Weld, Mandar Joshi, Yejin Choi, Omer Levy, Hannah Rashkin, Minjoon Seo, Svitlana Volkova, Jin Yea Jang and Tom Kwiatkowski and has published in prestigious journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Co-authorship network of co-authors of Eunsol Choi i

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Fields of papers citing papers by Eunsol Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eunsol Choi

Since Specialization

Citations

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