Deok‐Sun Lee
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- Complex Network Analysis Techniques 44
- Opinion Dynamics and Social Influence 26
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics 21
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 12
- Modeling and Simulation top 5%
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- Complex Systems and Time Series Analysis 9
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- Gene Regulatory Network Analysis 7
- Bioinformatics and Genomic Networks 6
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- Evolutionary Game Theory and Cooperation 6
- Co-authors
- B. KahngAlbert-Ĺaszló BarabásiK.-I. GohNicholas A. ChristakisZoltán N. OltvaiD. KimJ. ParkJuyong Park
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Deok‐Sun Lee
89 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 171
- Statistical and Nonlinear Physics 761
- Condensed Matter Physics 258
- Mathematical Physics 174
- Modeling and Simulation 73
- Computational Theory and Mathematics 245
Countries citing papers authored by Deok‐Sun Lee
This map shows the geographic impact of Deok‐Sun Lee'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 Deok‐Sun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deok‐Sun Lee more than expected).
Fields of papers citing papers by Deok‐Sun Lee
This network shows the impact of papers produced by Deok‐Sun Lee. 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 Deok‐Sun Lee. The network helps show where Deok‐Sun Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deok‐Sun Lee, 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 | 2025 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 16 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 79 | |
| 9 | 2017 | 2 | |
| 10 | 2017 | 10 | |
| 11 | 2017 | 11 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 5 | |
| 14 | 2014 | 3 | |
| 15 | 2012 | 5 | |
| 16 | 2012 | 24 | |
| 17 | 2010 | 87 | |
| 18 | 2007 | 11 | |
| 19 | 2004 | 55 | |
| 20 | Incompleteness of regular solutions of the Bethe ansatz for Heisenberg XXZ spin chain | 2000 | 1 |
About Deok‐Sun Lee
Deok‐Sun Lee is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Mathematical Physics, Modeling and Simulation and Transportation, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (44 papers), Opinion Dynamics and Social Influence (26 papers), Theoretical and Computational Physics (21 papers), Stochastic processes and statistical mechanics (12 papers), Complex Systems and Time Series Analysis (9 papers), Gene Regulatory Network Analysis (7 papers), Evolutionary Game Theory and Cooperation (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (761 citations), Condensed Matter Physics (258 citations), Mathematical Physics (174 citations), Modeling and Simulation (73 citations) and Computational Theory and Mathematics (245 citations). Deok‐Sun Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include B. Kahng, Albert-Ĺaszló Barabási, K.-I. Goh, Nicholas A. Christakis, Zoltán N. Oltvai, D. Kim, J. Park, Juyong Park, Sungmin Hwang and Heiko Rieger. Their work appears in journals such as Physical review. E, Physical Review Letters, PLoS ONE, Scientific Reports and Journal of Physics A Mathematical and Theoretical.
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.