Taeryon Choi

77 total papers · 1.1k total citations
51 papers, 665 citations indexed

About

Taeryon Choi is a scholar working on Statistics and Probability, Artificial Intelligence and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Taeryon Choi has authored 51 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 32 papers in Artificial Intelligence and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Taeryon Choi's work include Statistical Methods and Inference (30 papers), Bayesian Methods and Mixture Models (23 papers) and Statistical Methods and Bayesian Inference (21 papers). Taeryon Choi is often cited by papers focused on Statistical Methods and Inference (30 papers), Bayesian Methods and Mixture Models (23 papers) and Statistical Methods and Bayesian Inference (21 papers). Taeryon Choi collaborates with scholars based in South Korea, United States and Japan. Taeryon Choi's co-authors include Jian Qing Shi, Mark J. Schervish, Jong‐Min Kim, Engin A. Sungur, Grace Y. Yi, Bo Wang, Jingjing Yang, Peter Lenk, Hongxiao Zhu and Yoonsung Jung and has published in prestigious journals such as Biometrics, Statistics in Medicine and Journal of Statistical Software.

In The Last Decade

Taeryon Choi

42 papers receiving 639 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Taeryon Choi	279	275	78	72	63	51	665
Rohana J. Karunamuni	242 0.9×	469 1.7×	118 1.5×	62 0.9×	130 2.1×	67	700
D. R. Jensen	197 0.7×	431 1.6×	134 1.7×	60 0.8×	132 2.1×	93	732
N. Turkkan	177 0.6×	381 1.4×	111 1.4×	90 1.3×	146 2.3×	48	790
Randall Brooks	96 0.3×	280 1.0×	115 1.5×	79 1.1×	92 1.5×	31	782
Shaojun Guo	139 0.5×	373 1.4×	41 0.5×	105 1.5×	38 0.6×	33	727
N. Giri	108 0.4×	213 0.8×	45 0.6×	37 0.5×	38 0.6×	50	648
Leo A. Aroian	124 0.4×	248 0.9×	112 1.4×	53 0.7×	145 2.3×	43	715
Céline Lévy‐Leduc	100 0.4×	267 1.0×	39 0.5×	78 1.1×	50 0.8×	42	655
Sudhir Gupta	72 0.3×	410 1.5×	216 2.8×	46 0.6×	80 1.3×	40	703
Donald R. Barr	92 0.3×	226 0.8×	75 1.0×	37 0.5×	102 1.6×	38	554

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).

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.

Co-authorship network of co-authors of Taeryon Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Taeryon Choi. A scholar is included among the top collaborators of Taeryon Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Taeryon Choi. Taeryon Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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