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
- Complex Network Analysis Techniques 2
- Quantum chaos and dynamical systems 2
-
- COVID-19 epidemiological studies 9
- Co-authors
- Okyu Kwon (6 shared papers)Ji‐Eun Park (3 shared papers)Soo Beom Choi (1 shared paper)Yeonhee Ryu (1 shared paper)Insung Ahn (1 shared paper)Young-Jai Park (5 shared papers)Dong‐Uk Hwang (4 shared papers)Jung-Wan Ryu (3 shared papers)
- Journals
- Epidemiology and Health (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)Scientific Reports (1 paper)Infectious Disease Modelling (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Woo‐Sik Son
18 papers receiving 285 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 109
- Statistical and Nonlinear Physics 77
- Health, Toxicology and Mutagenesis 48
- Global and Planetary Change 58
- Infectious Diseases 46
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 24 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 155 | |
| 2 | 2011 | 24 | |
| 3 | 2003 | 19 | |
| 4 | 2015 | 18 | |
| 5 | 2008 | 12 | |
| 6 | 2016 | 11 | |
| 7 | 2010 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2010 | 8 | |
| 10 | 2020 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2017 | 1 | |
| 19 | 2024 | 0 |
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 19 papers that have together received 292 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (7 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Data-Driven Disease Surveillance (4 papers), Chaos control and synchronization (3 papers), Complex Network Analysis Techniques (2 papers), Complex Systems and Time Series Analysis (2 papers) and Quantum chaos and dynamical systems (2 papers). The work is most often cited by research in Modeling and Simulation (109 citations), Statistical and Nonlinear Physics (77 citations), Health, Toxicology and Mutagenesis (48 citations), Global and Planetary Change (58 citations) and Infectious Diseases (46 citations). Woo‐Sik Son has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Okyu Kwon, Ji‐Eun Park, Soo Beom Choi, Yeonhee Ryu, Insung Ahn, Young-Jai Park, Dong‐Uk Hwang, Jung-Wan Ryu, Chil-Min Kim and Soo-Young Lee. Their work appears in journals such as Epidemiology and Health, Physica A Statistical Mechanics and its Applications, Scientific Reports, Infectious Disease Modelling and International Journal of Environmental Research and Public Health.
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.