Minsuk Shin

10 papers and 86 indexed citations i.

About

Minsuk Shin is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Minsuk Shin has authored 10 papers receiving a total of 86 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Minsuk Shin’s work include Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (3 papers) and Bayesian Methods and Mixture Models (2 papers). Minsuk Shin is often cited by papers focused on Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (3 papers) and Bayesian Methods and Mixture Models (2 papers). Minsuk Shin collaborates with scholars based in United States, South Korea and Malaysia. Minsuk Shin's co-authors include Valen E. Johnson, Anirban Bhattacharya, Sangun Park, Jun S. Liu, Jonghyun Yun, Faming Liang, Bani K. Mallick, Veerabhadran Baladandayuthapani, Suprateek Kundu and Yichen Cheng and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Journal of Computational and Graphical Statistics.

In The Last Decade

Co-authorship network of co-authors of Minsuk Shin i

Fields of papers citing papers by Minsuk Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minsuk Shin

Since Specialization
Citations

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