Byungjoon Min
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Molecular Biology
- Cognitive Neuroscience
- Co-authors
- K.-I. GohSu YiM. San MiguelAlexei VázquezHernán A. MakseFlaviano MoroneMuhua ZhengKevin A. Roth
- Topics
- Complex Network Analysis Techniques (18 papers)Opinion Dynamics and Social Influence (16 papers)Evolutionary Game Theory and Cooperation (6 papers)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Byungjoon Min
22 papers receiving 602 citations
Peers
Comparison fields: 5 of 87
- Statistical and Nonlinear Physics 481
- Computer Networks and Communications 86
- Sociology and Political Science 75
- Molecular Biology 60
- Cognitive Neuroscience 56
Countries citing papers authored by Byungjoon Min
This map shows the geographic impact of Byungjoon Min'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 Byungjoon Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byungjoon Min more than expected).
Fields of papers citing papers by Byungjoon Min
This network shows the impact of papers produced by Byungjoon Min. 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 Byungjoon Min. The network helps show where Byungjoon Min may publish in the future.
Co-authorship network of co-authors of Byungjoon Min
This figure shows the co-authorship network connecting the top 25 collaborators of Byungjoon Min. A scholar is included among the top collaborators of Byungjoon Min based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Byungjoon Min. Byungjoon Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | Finding influential nodes for integration in brain networks using optimal percolation theory | 61 |
| 9 | 20 | |
| 10 | 38 | |
| 11 | 6 | |
| 12 | 25 | |
| 13 | 10 | |
| 14 | 24 | |
| 15 | 172 | |
| 16 | Network robustness of correlated multiplex networks. | 3 |
| 17 | 79 | |
| 18 | Spreading Dynamics Following Human Activity Patterns | 1 |
| 19 | 10 | |
| 20 | 21 |
About Byungjoon Min
Byungjoon Min is a scholar working on Statistical and Nonlinear Physics, Management Information Systems and Modeling and Simulation, having authored 25 papers that have together received 614 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (16 papers) and Evolutionary Game Theory and Cooperation (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (481 citations), Modeling and Simulation (34 citations) and Transportation (35 citations). Byungjoon Min has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include K.-I. Goh, Su Yi, M. San Miguel, Alexei Vázquez, Hernán A. Makse, Flaviano Morone, Muhua Zheng, Kevin A. Roth, Sang‐Chul Lee and H. Eugene Stanley. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.