Juhyun Park

27 papers and 424 indexed citations i.

About

Juhyun Park is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Juhyun Park has authored 27 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Juhyun Park’s work include Statistical Methods and Inference (6 papers), Bayesian Methods and Mixture Models (4 papers) and Morphological variations and asymmetry (3 papers). Juhyun Park is often cited by papers focused on Statistical Methods and Inference (6 papers), Bayesian Methods and Mixture Models (4 papers) and Morphological variations and asymmetry (3 papers). Juhyun Park collaborates with scholars based in United Kingdom, United States and South Korea. Juhyun Park's co-authors include David B. Dunson, Natesh S. Pillai, Vadim Levin, Peter A. Hall, Jeongyoun Ahn, Wolfgang Karl Härdle, Paul T. Sowden, Weiguo Pang, Anna Franklin and Ketan Gajjar and has published in prestigious journals such as Biometrics, Biometrika and Journal of Experimental Psychology General.

In The Last Decade

Co-authorship network of co-authors of Juhyun Park i

Fields of papers citing papers by Juhyun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Juhyun Park

Since Specialization
Citations

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