Woo‐Sik Son
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- Chaos control and synchronization
- stochastic dynamics and bifurcation
Papers in
-
- Chaos control and synchronization 3
- Quantum chaos and dynamical systems 2
-
- COVID-19 epidemiological studies 8
- Co-authors
- Okyu Kwon (6 shared papers)Ji‐Eun Park (3 shared papers)Soo Beom Choi (1 shared paper)Insung Ahn (1 shared paper)Young-Jai Park (5 shared papers)Dong‐Uk Hwang (5 shared papers)Jung-Wan Ryu (3 shared papers)Chil-Min Kim (2 shared papers)
- Journals
- Epidemiology and Health (3 papers)Physica A Statistical Mechanics and its Applications (2 papers)International Journal of Environmental Research and Public Health (1 paper)Chaos Solitons & Fractals (1 paper)Infectious Disease Modelling (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Woo‐Sik Son
20 papers receiving 297 citations
Peers
Comparison fields: 5 of 72
- Modeling and Simulation 101
- Statistical and Nonlinear Physics 78
- Health, Toxicology and Mutagenesis 38
- Global and Planetary Change 57
- Economics and Econometrics 54
Countries citing papers authored by Woo‐Sik Son
This map shows the geographic impact of Woo‐Sik Son'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 Woo‐Sik Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woo‐Sik Son more than expected).
Fields of papers citing papers by Woo‐Sik Son
This network shows the impact of papers produced by Woo‐Sik Son. 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 Woo‐Sik Son. The network helps show where Woo‐Sik Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Woo‐Sik Son, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 159 | |
| 2 | 2011 | 24 | |
| 3 | 2003 | 19 | |
| 4 | 2015 | 18 | |
| 5 | 2016 | 13 | |
| 6 | 2008 | 12 | |
| 7 | 2019 | 8 | |
| 8 | 2010 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2010 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2017 | 1 |
About Woo‐Sik Son
Woo‐Sik Son is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Epidemiology, Computer Networks and Communications and Economics and Econometrics, having authored 21 papers that have together received 304 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (6 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Chaos control and synchronization (3 papers), Black Holes and Theoretical Physics (2 papers), Data-Driven Disease Surveillance (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Quantum chaos and dynamical systems (2 papers). The work is most often cited by research in Modeling and Simulation (101 citations), Statistical and Nonlinear Physics (78 citations), Health, Toxicology and Mutagenesis (38 citations), Global and Planetary Change (57 citations) and Economics and Econometrics (54 citations). Woo‐Sik Son has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Okyu Kwon, Ji‐Eun Park, Soo Beom Choi, Insung Ahn, Young-Jai Park, Dong‐Uk Hwang, Jung-Wan Ryu, Chil-Min Kim, Soo-Young Lee and Yong‐Wan Kim. Their work appears in journals such as Epidemiology and Health, Physica A Statistical Mechanics and its Applications, International Journal of Environmental Research and Public Health, Chaos Solitons & Fractals and Infectious Disease Modelling.
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.