Countries citing scholars working at Statistics Korea
Since Specialization
Citations
This map shows the geographic impact of research produced by authors working at Statistics Korea. 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 papers produced at Statistics Korea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistics Korea more than expected).
Fields of papers published by authors at Statistics Korea
This network shows the impact of papers affiliated with Statistics Korea at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Statistics Korea at the time of their publication.
About Statistics Korea
In recent decades, authors affiliated with Statistics Korea have published 699 papers, which have received a total of 10.8k indexed citations . Scholars at this organization have produced 180 papers in Statistics and Probability, 42 papers in Management Science and Operations Research, 31 papers in Finance, 21 papers in Statistics, Probability and Uncertainty and 96 papers in Artificial Intelligence on the topics of Statistical Methods and Inference (117 papers), Advanced Statistical Methods and Models (76 papers), Statistical Methods and Bayesian Inference (65 papers), Bayesian Methods and Mixture Models (41 papers), Gene expression and cancer classification (33 papers), Face and Expression Recognition (21 papers), Financial Risk and Volatility Modeling (18 papers) and Statistical Distribution Estimation and Applications (17 papers). Their work is cited by papers focused on Statistics and Probability (894 citations), Finance (662 citations), Aging (103 citations), Hepatology (335 citations) and Oncology (987 citations). Authors at Statistics Korea collaborate with scholars in South Korea, United States and Japan and have published in prestigious journals including Computational Statistics & Data Analysis, Scientific Reports, Statistics in Medicine, Journal of Statistical Planning and Inference and Statistical Papers. Some of Statistics Korea's most productive authors include Yoonsuh Jung, Yousung Park, Jae Won Lee, Myoungshic Jhun, HyungJun Cho, Nam Hoon Kim, Sin Gon Kim, Tae Yeon Kwon, Seuck Heun Song and T J Mathews.
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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