Kyung S. Park
- Software top 2%
- Software Reliability and Analysis Research 12
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- Supply Chain and Inventory Management 9
- Advanced Queuing Theory Analysis 5
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- Reliability and Maintenance Optimization 18
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications 9
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- Risk and Safety Analysis 6
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- Scheduling and Optimization Algorithms 5
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- Forecasting Techniques and Applications 5
Kyung S. Park
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 137
- Software 212
- Management Information Systems 403
- Safety, Risk, Reliability and Quality 372
- Statistics and Probability 255
- Statistics, Probability and Uncertainty 170
Countries citing papers authored by Kyung S. Park
This map shows the geographic impact of Kyung S. 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 Kyung S. Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyung S. Park more than expected).
Fields of papers citing papers by Kyung S. Park
This network shows the impact of papers produced by Kyung S. 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 Kyung S. Park. The network helps show where Kyung S. Park may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Kyung S. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 47 | |
| 2 | 2012 | 4 | |
| 3 | 2009 | 58 | |
| 4 | Korean Principle of Proportionality, American Multi-leveled Scrutiny, and Empiricist Elements in U.S.-Korean Constitutional Jurisprudence | 2001 | 2 |
| 5 | 1999 | 75 | |
| 6 | 1996 | 56 | |
| 7 | 1990 | 63 | |
| 8 | 1990 | 30 | |
| 9 | 1989 | 1 | |
| 10 | 1989 | 3 | |
| 11 | 1986 | 2 | |
| 12 | 1986 | 43 | |
| 13 | 1985 | 17 | |
| 14 | 1985 | 3 | |
| 15 | 1985 | 2 | |
| 16 | 1984 | 47 | |
| 17 | 1984 | 2 | |
| 18 | 1982 | 110 | |
| 19 | (S-1, S) Inventory Policy Including Non-stocking Alternative as an Optimal Policy for Low Demand Items | 1980 | 1 |
| 20 | FLEET AVAILABILITY IN CLOSED QUEUING NETWORKS. | 1980 | 1 |
About Kyung S. Park
Kyung S. Park is a scholar working on Software, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (18 papers), Software Reliability and Analysis Research (12 papers), Supply Chain and Inventory Management (9 papers), Statistical Distribution Estimation and Applications (9 papers), Risk and Safety Analysis (6 papers), Scheduling and Optimization Algorithms (5 papers), Advanced Queuing Theory Analysis (5 papers) and Forecasting Techniques and Applications (5 papers). The work is most often cited by research in Software (212 citations), Management Information Systems (403 citations) and Safety, Risk, Reliability and Quality (372 citations). Kyung S. Park has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Myung Mo Sung, Boram Cho, Jangmi Baek, Dae Hyun Kim, Yong-Eun Koo Lee, Byung Yong Jeong, Haiwon Lee, Jae K. Hwang, Sang‐Won Lee and Byung Ik Jang. Their work appears in journals such as Nano Letters, Advanced Functional Materials and European Journal of Operational 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.