Michael Jong Kim
Impact in
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- Reliability and Maintenance Optimization
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- Risk and Safety Analysis
Papers in
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- Reliability and Maintenance Optimization 10
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- Advanced Bandit Algorithms Research 6
- Risk and Portfolio Optimization 5
- Auction Theory and Applications 3
- Co-authors
- Viliam Makiš (8 shared papers)Andrew Hiang He Lim (4 shared papers)Rui Jiang (4 shared papers)Rui Jiang (1 shared paper)Chi-Guhn Lee (1 shared paper)Jun‐ya Gotoh (3 shared papers)Dragan Banjević (1 shared paper)Roy H. Kwon (1 shared paper)
In The Last Decade
Michael Jong Kim
21 papers receiving 335 citations
Peers
Comparison fields: 5 of 60
- Safety, Risk, Reliability and Quality 182
- Statistics, Probability and Uncertainty 114
- Software 60
- Medical Laboratory Technology 15
- Management Science and Operations Research 94
Countries citing papers authored by Michael Jong Kim
This map shows the geographic impact of Michael Jong 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 Michael Jong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Jong Kim more than expected).
Fields of papers citing papers by Michael Jong Kim
This network shows the impact of papers produced by Michael Jong 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 Michael Jong Kim. The network helps show where Michael Jong Kim may publish in the future.
Co-authors
The 12 scholars most cited alongside Michael Jong 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 72 | |
| 2 | 2018 | 47 | |
| 3 | 2008 | 41 | |
| 4 | 2012 | 32 | |
| 5 | 2015 | 30 | |
| 6 | 2017 | 22 | |
| 7 | 2016 | 17 | |
| 8 | 2012 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2011 | 10 | |
| 12 | 2012 | 10 | |
| 13 | 2019 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2013 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2021 | 1 |
About Michael Jong Kim
Michael Jong Kim is a scholar working on Safety, Risk, Reliability and Quality, Management Science and Operations Research, Statistics, Probability and Uncertainty, Statistics and Probability and Software, having authored 23 papers that have together received 350 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (10 papers), Advanced Bandit Algorithms Research (6 papers), Statistical Distribution Estimation and Applications (5 papers), Risk and Portfolio Optimization (5 papers), Software Reliability and Analysis Research (5 papers), Advanced Statistical Process Monitoring (4 papers), Auction Theory and Applications (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (182 citations), Statistics, Probability and Uncertainty (114 citations), Software (60 citations), Medical Laboratory Technology (15 citations) and Management Science and Operations Research (94 citations). Michael Jong Kim has collaborated with scholars based in Canada, Singapore and Japan. Frequent co-authors include Viliam Makiš, Andrew Hiang He Lim, Rui Jiang, Rui Jiang, Chi-Guhn Lee, Jun‐ya Gotoh, Dragan Banjević, Roy H. Kwon, Jussi Keppo and Stephen M. Tanny. Their work appears in journals such as Operations Research, IEEE Transactions on Automatic Control, The Journal of Difference Equations and Applications, Annals of Operations Research and Mathematics of 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.