Seon Hee Park
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 10%
- Global and Planetary Change
- Molecular Biology
- Co-authors
- Seunghwan KimChang Su RyuHyeon‐Bong PyoSooyeul LeeJeong Yeon KimJong‐Sung YuKyung‐Hyun KimBong Kyu Kim
- Topics
- Nonlinear Dynamics and Pattern Formation (16 papers)stochastic dynamics and bifurcation (15 papers)Advanced Thermodynamics and Statistical Mechanics (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Partner nations
- South KoreaUnited States
In The Last Decade
Seon Hee Park
26 papers receiving 610 citations
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 432
- Computer Networks and Communications 396
- Cognitive Neuroscience 130
- Global and Planetary Change 90
- Molecular Biology 68
Countries citing papers authored by Seon Hee Park
This map shows the geographic impact of Seon Hee 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 Seon Hee Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seon Hee Park more than expected).
Fields of papers citing papers by Seon Hee Park
This network shows the impact of papers produced by Seon Hee 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 Seon Hee Park. The network helps show where Seon Hee Park may publish in the future.
Co-authorship network of co-authors of Seon Hee Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seon Hee Park. A scholar is included among the top collaborators of Seon Hee 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 Seon Hee Park. Seon Hee 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 | 8 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 26 | |
| 9 | 17 | |
| 10 | 109 | |
| 11 | 2 | |
| 12 | 추계 동적 연상 메모리망에서의 시간분할 | 0 |
| 13 | 21 | |
| 14 | 0 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 0 | |
| 19 | 46 | |
| 20 | 9 |
About Seon Hee Park
Seon Hee Park is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 29 papers that have together received 629 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (16 papers), stochastic dynamics and bifurcation (15 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (432 citations), Computer Networks and Communications (396 citations) and Cognitive Neuroscience (130 citations). Seon Hee Park has collaborated with scholars based in South Korea and United States. Frequent co-authors include Seunghwan Kim, Chang Su Ryu, Hyeon‐Bong Pyo, Sooyeul Lee, Jeong Yeon Kim, Jong‐Sung Yu, Kyung‐Hyun Kim, Bong Kyu Kim, Chul Huh and Gun Yong Sung. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Analytical Chemistry.
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.