Philseok Lee
- Management Science and Operations Research top 5%
- Clinical Psychology
- Economics and Econometrics top 10%
- Social Psychology
- Statistics and Probability top 5%
- Co-authors
- Seang‐Hwane JooStephen StarkWookjae HeoSoo Hyun ChoShinae ChoiOleksandr S. ChernyshenkoEunsook KimYan Wang
- Topics
- Psychometric Methodologies and Testing (15 papers)Personality Traits and Psychology (6 papers)Cognitive Abilities and Testing (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PsychologyPersonality and Individual Differences
- Partner nations
- United StatesSingaporeBelgium
In The Last Decade
Philseok Lee
31 papers receiving 344 citations
Peers
Comparison fields: 5 of 56
- Management Science and Operations Research 134
- Clinical Psychology 73
- Economics and Econometrics 71
- Social Psychology 63
- Statistics and Probability 54
Countries citing papers authored by Philseok Lee
This map shows the geographic impact of Philseok Lee'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 Philseok Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philseok Lee more than expected).
Fields of papers citing papers by Philseok Lee
This network shows the impact of papers produced by Philseok Lee. 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 Philseok Lee. The network helps show where Philseok Lee may publish in the future.
Co-authorship network of co-authors of Philseok Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Philseok Lee. A scholar is included among the top collaborators of Philseok Lee 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 Philseok Lee. Philseok Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 26 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 31 | |
| 18 | 30 | |
| 19 | 2 | |
| 20 | 11 |
About Philseok Lee
Philseok Lee is a scholar working on Management Science and Operations Research, Applied Psychology and General Decision Sciences, having authored 34 papers that have together received 348 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (15 papers), Personality Traits and Psychology (6 papers) and Cognitive Abilities and Testing (6 papers). The work is most often cited by research in General Decision Sciences (33 citations), Management Science and Operations Research (134 citations) and Applied Psychology (48 citations). Philseok Lee has collaborated with scholars based in United States, Singapore and Belgium. Frequent co-authors include Seang‐Hwane Joo, Stephen Stark, Wookjae Heo, Soo Hyun Cho, Shinae Choi, Oleksandr S. Chernyshenko, Eunsook Kim, Yan Wang, Vincent Ng and Louis Tay. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Psychology and Personality and Individual Differences.
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.