Okyu Kwon
Impact in
-
- stochastic dynamics and bifurcation
- Complex Network Analysis Techniques
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 7
-
- Complex Network Analysis Techniques 4
- Co-authors
- Jae‐Suk Yang (4 shared papers)Hie‐Tae Moon (4 shared papers)Woo‐Sik Son (6 shared papers)Ji‐Eun Park (3 shared papers)Soo Beom Choi (1 shared paper)Yeon Hee Ryu (1 shared paper)Insung Ahn (1 shared paper)Woo‐Sung Jung (5 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (9 papers)Europhysics Letters (EPL) (2 papers)Epidemiology and Health (2 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (2 papers)EPJ Data Science (1 paper)
- Partner nations
- South KoreaUnited StatesQatar
In The Last Decade
Okyu Kwon
31 papers receiving 778 citations
Peers
Comparison fields: 5 of 105
- Statistical and Nonlinear Physics 301
- Modeling and Simulation 90
- Economics and Econometrics 345
- Cognitive Neuroscience 160
- Finance 74
Countries citing papers authored by Okyu Kwon
This map shows the geographic impact of Okyu Kwon'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 Okyu Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Okyu Kwon more than expected).
Fields of papers citing papers by Okyu Kwon
This network shows the impact of papers produced by Okyu Kwon. 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 Okyu Kwon. The network helps show where Okyu Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Okyu Kwon, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 161 | |
| 2 | 2008 | 136 | |
| 3 | 2002 | 117 | |
| 4 | 2008 | 79 | |
| 5 | 2005 | 47 | |
| 6 | 2007 | 35 | |
| 7 | 2012 | 31 | |
| 8 | 2018 | 21 | |
| 9 | 2010 | 19 | |
| 10 | 2016 | 17 | |
| 11 | 2020 | 14 | |
| 12 | 2014 | 14 | |
| 13 | 2012 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2010 | 13 | |
| 16 | 2018 | 10 | |
| 17 | 1983 | 8 | |
| 18 | 2008 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2011 | 7 |
About Okyu Kwon
Okyu Kwon is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Economics and Econometrics, Transportation and Management Science and Operations Research, having authored 35 papers that have together received 810 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (10 papers), COVID-19 epidemiological studies (7 papers), Stock Market Forecasting Methods (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Complex Network Analysis Techniques (4 papers), Influenza Virus Research Studies (3 papers), Market Dynamics and Volatility (3 papers) and Human Mobility and Location-Based Analysis (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (301 citations), Modeling and Simulation (90 citations), Economics and Econometrics (345 citations), Cognitive Neuroscience (160 citations) and Finance (74 citations). Okyu Kwon has collaborated with scholars based in South Korea, United States and Qatar. Frequent co-authors include Jae‐Suk Yang, Hie‐Tae Moon, Woo‐Sik Son, Ji‐Eun Park, Soo Beom Choi, Yeon Hee Ryu, Insung Ahn, Woo‐Sung Jung, Gabjin Oh and Hang-Hyun Jo. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Europhysics Letters (EPL), Epidemiology and Health, Chaos An Interdisciplinary Journal of Nonlinear Science and EPJ Data Science.
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.