Taeryon Choi

42 papers and 395 indexed citations i.

About

Taeryon Choi is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Taeryon Choi has authored 42 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 26 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Taeryon Choi’s work include Statistical Methods and Inference (25 papers), Bayesian Methods and Mixture Models (19 papers) and Statistical Methods and Bayesian Inference (18 papers). Taeryon Choi is often cited by papers focused on Statistical Methods and Inference (25 papers), Bayesian Methods and Mixture Models (19 papers) and Statistical Methods and Bayesian Inference (18 papers). Taeryon Choi collaborates with scholars based in South Korea, United States and Japan. Taeryon Choi's co-authors include Mark J. Schervish, Jian Qing Shi, Engin A. Sungur, Jong‐Min Kim, Bo Wang, Grace Y. Yi, Peter Lenk, Yoonsung Jung, Jingjing Yang and Jaeyong Lee and has published in prestigious journals such as Biometrics, Journal of Statistical Software and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

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

Fields of papers citing papers by Taeryon Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Taeryon Choi

Since Specialization
Citations

This map shows the geographic impact of Taeryon 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 Taeryon Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taeryon 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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2025