Ji Hwan
- Safety, Risk, Reliability and Quality top 0.1%
- Statistics and Probability top 0.2%
- Statistics, Probability and Uncertainty top 0.2%
- Software top 0.5%
- Management Science and Operations Research top 2%
- Co-authors
- Maxim FinkelsteinGregory LevitinJie MiWon Young YunF. G. BadíaNil Kamal HazraGianpaolo PulciniInma T. Castro
- Topics
- Reliability and Maintenance Optimization (146 papers)Statistical Distribution Estimation and Applications (132 papers)Software Reliability and Analysis Research (66 papers)
- Journals
- European Journal of Operational ResearchReliability Engineering & System SafetyThe American Statistician
- Partner nations
- South KoreaSouth AfricaRussia
In The Last Decade
Ji Hwan
166 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 76
- Safety, Risk, Reliability and Quality 1.6k
- Statistics and Probability 1.2k
- Statistics, Probability and Uncertainty 782
- Software 771
- Management Science and Operations Research 228
Countries citing papers authored by Ji Hwan
This map shows the geographic impact of Ji Hwan'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 Ji Hwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Hwan more than expected).
Fields of papers citing papers by Ji Hwan
This network shows the impact of papers produced by Ji Hwan. 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 Ji Hwan. The network helps show where Ji Hwan may publish in the future.
Co-authorship network of co-authors of Ji Hwan
This figure shows the co-authorship network connecting the top 25 collaborators of Ji Hwan. A scholar is included among the top collaborators of Ji Hwan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ji Hwan. Ji Hwan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 32 | |
| 13 | 11 | |
| 14 | 26 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 28 | |
| 19 | 8 | |
| 20 | Optimal Replacement Policies for the Availability of a Repairable System | 0 |
About Ji Hwan
Ji Hwan is a scholar working on Software, Statistics and Probability and Safety, Risk, Reliability and Quality, having authored 178 papers that have together received 2.0k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (146 papers), Statistical Distribution Estimation and Applications (132 papers) and Software Reliability and Analysis Research (66 papers). The work is most often cited by research in Software (771 citations), Safety, Risk, Reliability and Quality (1.6k citations) and Statistics and Probability (1.2k citations). Ji Hwan has collaborated with scholars based in South Korea, South Africa and Russia. Frequent co-authors include Maxim Finkelstein, Gregory Levitin, Jie Mi, Won Young Yun, F. G. Badía, Nil Kamal Hazra, Gianpaolo Pulcini, Inma T. Castro, Sophie Mercier and M.D. Berrade. Their work appears in journals such as European Journal of Operational Research, Reliability Engineering & System Safety and The American Statistician.
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.