Byeong U. Park
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
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- Efficiency Analysis Using DEA
Papers in
-
- Statistical Methods and Inference 71
- Advanced Statistical Methods and Models 33
- Statistical Methods and Bayesian Inference 17
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- Bayesian Methods and Mixture Models 19
- Gaussian Processes and Bayesian Inference 5
- Co-authors
- Léopold Simar (15 shared papers)J. S. Marron (1 shared paper)Enno Mammen (20 shared papers)Peter Hall (2 shared papers)J. S. Marron (3 shared papers)Aloïs Kneip (1 shared paper)Eun Ryung Lee (5 shared papers)Richard J. Samworth (1 shared paper)
- Journals
- Journal of the American Statistical Association (16 papers)The Annals of Statistics (13 papers)Bernoulli (7 papers)Journal of Multivariate Analysis (5 papers)Scandinavian Journal of Statistics (4 papers)
- Partner nations
- South KoreaBelgiumGermany
In The Last Decade
Byeong U. Park
94 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 155
- Statistics and Probability 1.3k
- Management Science and Operations Research 990
- General Economics, Econometrics and Finance 337
- Economics and Econometrics 852
- Finance 260
Countries citing papers authored by Byeong U. Park
This map shows the geographic impact of Byeong U. 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 Byeong U. Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byeong U. Park more than expected).
Fields of papers citing papers by Byeong U. Park
This network shows the impact of papers produced by Byeong U. 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 Byeong U. Park. The network helps show where Byeong U. Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Byeong U. Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 348 | |
| 2 | 1998 | 281 | |
| 3 | 2008 | 223 | |
| 4 | 1992 | 163 | |
| 5 | 2006 | 160 | |
| 6 | 1999 | 140 | |
| 7 | 2013 | 128 | |
| 8 | 2008 | 105 | |
| 9 | 1990 | 102 | |
| 10 | 1994 | 85 | |
| 11 | 2013 | 76 | |
| 12 | 1998 | 65 | |
| 13 | 2009 | 62 | |
| 14 | 1994 | 62 | |
| 15 | 2002 | 46 | |
| 16 | 1998 | 45 | |
| 17 | 2010 | 44 | |
| 18 | 2012 | 41 | |
| 19 | 1999 | 40 | |
| 20 | 2013 | 40 |
About Byeong U. Park
Byeong U. Park is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering and Economics and Econometrics, having authored 100 papers that have together received 3.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (71 papers), Advanced Statistical Methods and Models (33 papers), Bayesian Methods and Mixture Models (19 papers), Statistical Methods and Bayesian Inference (17 papers), Control Systems and Identification (15 papers), Efficiency Analysis Using DEA (15 papers), Economic Growth and Productivity (6 papers) and Gaussian Processes and Bayesian Inference (5 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Management Science and Operations Research (990 citations), General Economics, Econometrics and Finance (337 citations), Economics and Econometrics (852 citations) and Finance (260 citations). Byeong U. Park has collaborated with scholars based in South Korea, Belgium and Germany. Frequent co-authors include Léopold Simar, J. S. Marron, Enno Mammen, Peter Hall, J. S. Marron, Aloïs Kneip, Eun Ryung Lee, Richard J. Samworth, Young Lee and Seok‐Oh Jeong. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Bernoulli, Journal of Multivariate Analysis and Scandinavian Journal of Statistics.
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.