Seonjin Kim
- Molecular Biology
- Ecology
- Developmental and Educational Psychology
- Statistics and Probability top 10%
- Artificial Intelligence
- Co-authors
- Zhibiao ZhaoNádia Cristina ValentiniJane E. ClarkJianghua YangJohn P. GiesyXiaowei ZhangYuwei XieJong Seong Khim
- Topics
- Statistical Methods and Inference (15 papers)Statistical Methods and Bayesian Inference (9 papers)Bayesian Methods and Mixture Models (5 papers)
- Cited by
- Statistics and ProbabilityDevelopmental and Educational PsychologyNeuropsychology and Physiological Psychology
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Seonjin Kim
23 papers receiving 410 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 223
- Ecology 72
- Developmental and Educational Psychology 51
- Statistics and Probability 47
- Artificial Intelligence 44
Countries citing papers authored by Seonjin Kim
This map shows the geographic impact of Seonjin 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 Seonjin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seonjin Kim more than expected).
Fields of papers citing papers by Seonjin Kim
This network shows the impact of papers produced by Seonjin 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 Seonjin Kim. The network helps show where Seonjin Kim may publish in the future.
Co-authorship network of co-authors of Seonjin Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seonjin Kim. A scholar is included among the top collaborators of Seonjin 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 Seonjin Kim. Seonjin 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 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 54 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | The Influence of 6 Weeks Reactive Neuromuscular Training(RNT) on Hand Grenade Throw Performance and Qualitative Motion Analysis | 1 |
| 13 | 33 | |
| 14 | 1 | |
| 15 | 48 | |
| 16 | 0 | |
| 17 | 6 | |
| 18 | 18 | |
| 19 | Utilizing Advanced Visual Cue, Anticipation, and Expertise of Goalkeeper in Soccer Penalty Kick | 5 |
| 20 | 200 |
About Seonjin Kim
Seonjin Kim is a scholar working on Statistics and Probability, Neuropsychology and Physiological Psychology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 27 papers that have together received 421 indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Statistical Methods and Bayesian Inference (9 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Statistics and Probability (47 citations), Developmental and Educational Psychology (51 citations) and Neuropsychology and Physiological Psychology (6 citations). Seonjin Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Zhibiao Zhao, Nádia Cristina Valentini, Jane E. Clark, Jianghua Yang, John P. Giesy, Xiaowei Zhang, Yuwei Xie, Jong Seong Khim, Seongjin Hong and Hongxia Yu. Their work appears in journals such as Biometrics, Environmental Pollution and Chemosphere.
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.