Eun Lee
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Social Media and Politics
Papers in
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- Complex Network Analysis Techniques 10
- Opinion Dynamics and Social Influence 7
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- Evolutionary Game Theory and Cooperation 3
- Co-authors
- Hang-Hyun Jo (3 shared papers)Mirta Galešić (2 shared papers)Markus Strohmaier (1 shared paper)Fariba Karimi (1 shared paper)Claudia Wagner (1 shared paper)Petter Holme (3 shared papers)Deborah L. Hanuscin (3 shared papers)Hyunjeong Kang (1 shared paper)
- Journals
- Physical review. E (3 papers)PLoS ONE (2 papers)Nature Communications (1 paper)Psychology in the Schools (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Eun Lee
18 papers receiving 211 citations
Peers
Comparison fields: 5 of 78
- Statistical and Nonlinear Physics 101
- Communication 21
- Sociology and Political Science 80
- Safety Research 13
- Statistics, Probability and Uncertainty 9
Countries citing papers authored by Eun Lee
This map shows the geographic impact of Eun 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 Eun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun Lee more than expected).
Fields of papers citing papers by Eun Lee
This network shows the impact of papers produced by Eun 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 Eun Lee. The network helps show where Eun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Eun 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2023 | 41 | |
| 3 | 2017 | 16 | |
| 4 | 2024 | 10 | |
| 5 | 2012 | 9 | |
| 6 | 2017 | 9 | |
| 7 | 2017 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2017 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2014 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2000 | 2 | |
| 15 | 2003 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Eun Lee
Eun Lee is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Economics and Econometrics, Communication and Computer Networks and Communications, having authored 25 papers that have together received 217 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (7 papers), Evolutionary Game Theory and Cooperation (3 papers), Advanced Graph Neural Networks (2 papers), Advanced Operator Algebra Research (2 papers), Science Education and Pedagogy (2 papers), Social Media and Politics (2 papers) and Educational Research and Pedagogy (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (101 citations), Communication (21 citations), Sociology and Political Science (80 citations), Safety Research (13 citations) and Statistics, Probability and Uncertainty (9 citations). Eun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hang-Hyun Jo, Mirta Galešić, Markus Strohmaier, Fariba Karimi, Claudia Wagner, Petter Holme, Deborah L. Hanuscin, Hyunjeong Kang, Amir Ghasemian and Hyung Jun Ahn. Their work appears in journals such as Physical review. E, PLoS ONE, Nature Communications, Psychology in the Schools and Journal of Medical Internet Research.
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.