Jee‐Seon Kim
- Education top 5%
- Statistics and Probability top 2%
- Physiology
- Management Science and Operations Research top 5%
- Economics and Econometrics top 10%
- Co-authors
- Daniel M. BoltEdward W. FreesKelli F. KoltynDane B. CookJacob D. MeyerAaron J. StegnerLaura D. EllingsonAna C. Stephens
- Topics
- Advanced Causal Inference Techniques (8 papers)Statistical Methods and Bayesian Inference (7 papers)Psychometric Methodologies and Testing (7 papers)
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Jee‐Seon Kim
40 papers receiving 835 citations
Peers
Comparison fields: 5 of 124
- Education 202
- Statistics and Probability 196
- Physiology 125
- Management Science and Operations Research 119
- Economics and Econometrics 118
Countries citing papers authored by Jee‐Seon Kim
This map shows the geographic impact of Jee‐Seon 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 Jee‐Seon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jee‐Seon Kim more than expected).
Fields of papers citing papers by Jee‐Seon Kim
This network shows the impact of papers produced by Jee‐Seon 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 Jee‐Seon Kim. The network helps show where Jee‐Seon Kim may publish in the future.
Co-authorship network of co-authors of Jee‐Seon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jee‐Seon Kim. A scholar is included among the top collaborators of Jee‐Seon Kim 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 Jee‐Seon Kim. Jee‐Seon Kim 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 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 11 | |
| 13 | 34 | |
| 14 | 31 | |
| 15 | 103 | |
| 16 | Within-Cluster and Across-Cluster Matching with Observational Multilevel Data. | 1 |
| 17 | Propensity Score Estimation with Data Mining Techniques: Alternatives to Logistic Regression. | 1 |
| 18 | 9 | |
| 19 | 19 | |
| 20 | 6 |
About Jee‐Seon Kim
Jee‐Seon Kim is a scholar working on Statistics and Probability, Management Science and Operations Research and Geriatrics and Gerontology, having authored 42 papers that have together received 895 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Psychometric Methodologies and Testing (7 papers). The work is most often cited by research in Statistics and Probability (196 citations), Applied Psychology (50 citations) and Management Science and Operations Research (119 citations). Jee‐Seon Kim has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Daniel M. Bolt, Edward W. Frees, Kelli F. Koltyn, Dane B. Cook, Jacob D. Meyer, Aaron J. Stegner, Laura D. Ellingson, Ana C. Stephens, Maria Blanton and Işıl Işler. Their work appears in journals such as Medicine & Science in Sports & Exercise, Psychophysiology and Medicine.
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.