Yong‐Yeol Ahn
- Statistical and Nonlinear Physics top 0.1%
- Computer Networks and Communications top 0.5%
- Sociology and Political Science top 1%
- Artificial Intelligence top 1%
- Information Systems top 1%
- Co-authors
- Sune LehmannJames P. BagrowHaewoon KwakSue MoonMeeyoung ChaPablo RodríguezHawoong JeongSeungyeop Han
- Topics
- Complex Network Analysis Techniques (40 papers)Opinion Dynamics and Social Influence (23 papers)Misinformation and Its Impacts (12 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Yong‐Yeol Ahn
91 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Statistical and Nonlinear Physics 2.6k
- Computer Networks and Communications 1.7k
- Sociology and Political Science 1.4k
- Artificial Intelligence 1.1k
- Information Systems 691
Countries citing papers authored by Yong‐Yeol Ahn
This map shows the geographic impact of Yong‐Yeol Ahn'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 Yong‐Yeol Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong‐Yeol Ahn more than expected).
Fields of papers citing papers by Yong‐Yeol Ahn
This network shows the impact of papers produced by Yong‐Yeol Ahn. 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 Yong‐Yeol Ahn. The network helps show where Yong‐Yeol Ahn may publish in the future.
Co-authorship network of co-authors of Yong‐Yeol Ahn
This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Yeol Ahn. A scholar is included among the top collaborators of Yong‐Yeol Ahn 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 Yong‐Yeol Ahn. Yong‐Yeol Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 31 | |
| 8 | 28 | |
| 9 | 219 | |
| 10 | Defining and identifying the optimal embedding dimension of networks | 1 |
| 11 | 32 | |
| 12 | 109 | |
| 13 | 38 | |
| 14 | 50 | |
| 15 | Optimal network clustering for information diffusion. | 2 |
| 16 | 211 | |
| 17 | Link communities reveal multiscale complexity in networksbreakdown → | 1250 |
| 18 | Communities and Hierarchical Organization of Links in Complex Networks | 18 |
| 19 | Comparison of online social relations in volume vs interaction: A case study of Cyworld | 138 |
| 20 | Googling hidden interactions: Web search engine based weighted network construction | 3 |
About Yong‐Yeol Ahn
Yong‐Yeol Ahn is a scholar working on Statistical and Nonlinear Physics, Health Informatics and General Social Sciences, having authored 95 papers that have together received 6.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (40 papers), Opinion Dynamics and Social Influence (23 papers) and Misinformation and Its Impacts (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.6k citations), Communication (543 citations) and Computer Networks and Communications (1.7k citations). Yong‐Yeol Ahn has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Sune Lehmann, James P. Bagrow, Haewoon Kwak, Sue Moon, Meeyoung Cha, Pablo Rodríguez, Hawoong Jeong, Seungyeop Han, Alessandro Flammini and Sebastian E. Ahnert. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.