Seong‐Hee Kim
Impact in
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- Simulation Techniques and Applications
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- Advanced Statistical Process Monitoring
Papers in
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- Simulation Techniques and Applications 44
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- Advanced Statistical Process Monitoring 40
- Co-authors
- Barry L. Nelson (9 shared papers)Kyoung-Ki Lee (27 shared papers)Choi‐Kyu Park (21 shared papers)Sigrún Andradóttir (9 shared papers)Jae‐Ku Oem (15 shared papers)Bang‐Hun Hyun (6 shared papers)David Goldsman (13 shared papers)Changhee Lee (7 shared papers)
- Journals
- ACM Transactions on Modeling and Computer Simulation (7 papers)Veterinary Microbiology (4 papers)International Journal of Production Research (3 papers)Virus Genes (3 papers)Operations Research (3 papers)
- Partner nations
- United StatesSouth KoreaHong Kong
In The Last Decade
Seong‐Hee Kim
134 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 123
- Management Science and Operations Research 1.0k
- Statistics, Probability and Uncertainty 505
- Animal Science and Zoology 578
- Software 161
- Infectious Diseases 574
Countries citing papers authored by Seong‐Hee Kim
This map shows the geographic impact of Seong‐Hee Kim'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 Seong‐Hee Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong‐Hee Kim more than expected).
Fields of papers citing papers by Seong‐Hee Kim
This network shows the impact of papers produced by Seong‐Hee Kim. 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 Seong‐Hee Kim. The network helps show where Seong‐Hee Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Seong‐Hee Kim, 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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 321 | |
| 2 | 2003 | 141 | |
| 3 | 2007 | 121 | |
| 4 | 2010 | 96 | |
| 5 | 2006 | 89 | |
| 6 | 2009 | 83 | |
| 7 | 2002 | 62 | |
| 8 | 2010 | 59 | |
| 9 | 2009 | 54 | |
| 10 | 2009 | 52 | |
| 11 | 2006 | 50 | |
| 12 | 2013 | 48 | |
| 13 | 2018 | 47 | |
| 14 | 2009 | 46 | |
| 15 | 2017 | 44 | |
| 16 | 2010 | 41 | |
| 17 | 2012 | 39 | |
| 18 | 2007 | 39 | |
| 19 | 2021 | 32 | |
| 20 | 2014 | 28 |
About Seong‐Hee Kim
Seong‐Hee Kim is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Infectious Diseases, Computer Networks and Communications and Animal Science and Zoology, having authored 149 papers that have together received 2.4k indexed citations. Recurring topics across this work include Simulation Techniques and Applications (44 papers), Advanced Statistical Process Monitoring (40 papers), Animal Virus Infections Studies (22 papers), Viral gastroenteritis research and epidemiology (20 papers), Virus-based gene therapy research (18 papers), Advanced Database Systems and Queries (14 papers), Animal Disease Management and Epidemiology (10 papers) and Advanced Statistical Methods and Models (10 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Statistics, Probability and Uncertainty (505 citations), Animal Science and Zoology (578 citations), Software (161 citations) and Infectious Diseases (574 citations). Seong‐Hee Kim has collaborated with scholars based in United States, South Korea and Hong Kong. Frequent co-authors include Barry L. Nelson, Kyoung-Ki Lee, Choi‐Kyu Park, Sigrún Andradóttir, Jae‐Ku Oem, Bang‐Hun Hyun, David Goldsman, Changhee Lee, Myoung-Heon Lee and James R. Wilson. Their work appears in journals such as ACM Transactions on Modeling and Computer Simulation, Veterinary Microbiology, International Journal of Production Research, Virus Genes and Operations Research.
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.