Kyung Sam Park
About
In The Last Decade
Kyung Sam Park
19 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Management Science and Operations Research 1.5k
- Control and Systems Engineering 493
- Economics and Econometrics 430
- Artificial Intelligence 193
- Environmental Engineering 143
Countries citing papers authored by Kyung Sam Park
This map shows the geographic impact of Kyung Sam 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 Sam 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 Sam Park more than expected).
Fields of papers citing papers by Kyung Sam Park
This network shows the impact of papers produced by Kyung Sam 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 Sam Park. The network helps show where Kyung Sam Park may publish in the future.
Co-authorship network of co-authors of Kyung Sam Park
This figure shows the co-authorship network connecting the top 25 collaborators of Kyung Sam Park. A scholar is included among the top collaborators of Kyung Sam Park 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 Kyung Sam Park. Kyung Sam Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 32 | |
| 3 | 41 | |
| 4 | 42 | |
| 5 | 30 | |
| 6 | 74 | |
| 7 | 139 | |
| 8 | 13 | |
| 9 | RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA breakdown → | 520 |
| 10 | 366 | |
| 11 | 42 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 184 | |
| 15 | 54 | |
| 16 | 12 | |
| 17 | 11 | |
| 18 | 93 | |
| 19 | An Artificial Neural Network Approach | 30 |
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.