Sewon Min

28 papers and 2.1k indexed citations i.

About

Sewon Min is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sewon Min has authored 28 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sewon Min’s work include Topic Modeling (22 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (5 papers). Sewon Min is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (5 papers). Sewon Min collaborates with scholars based in United States, South Korea and Israel. Sewon Min's co-authors include Hannaneh Hajishirzi, Danqi Chen, Wen-tau Yih, Vladimir Karpukhin, Ledell Wu, Barlas Oǧuz, Sergey Edunov, Patrick Lewis, Luke Zettlemoyer and Michael Lewis and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Journal of Human Resources in Hospitality & Tourism and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Sewon Min i

Fields of papers citing papers by Sewon Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sewon Min

Since Specialization
Citations

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