Soon‐Hyung Yook
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 36
- Opinion Dynamics and Social Influence 26
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics 19
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- Nonlinear Dynamics and Pattern Formation 8
- Transportation top 5%
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics 11
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- Complex Systems and Time Series Analysis 8
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- Evolutionary Game Theory and Cooperation 7
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- Bioinformatics and Genomic Networks 4
- Co-authors
- Albert-Ĺaszló BarabásiHawoong JeongZoltán N. OltvaiYup KimYuhai TuSungmin LeeHildegard Meyer‐OrtmannsFilippo Radicchi
- Cited by
- Statistical and Nonlinear PhysicsCondensed Matter PhysicsComputer Networks and Communications
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (1 paper)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Soon‐Hyung Yook
57 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Statistical and Nonlinear Physics 968
- Condensed Matter Physics 174
- Computer Networks and Communications 287
- Transportation 76
- Mathematical Physics 90
Countries citing papers authored by Soon‐Hyung Yook
This map shows the geographic impact of Soon‐Hyung Yook'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 Soon‐Hyung Yook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soon‐Hyung Yook more than expected).
Fields of papers citing papers by Soon‐Hyung Yook
This network shows the impact of papers produced by Soon‐Hyung Yook. 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 Soon‐Hyung Yook. The network helps show where Soon‐Hyung Yook may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Soon‐Hyung Yook, 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 | 2023 | 0 | |
| 2 | 2020 | 4 | |
| 3 | 2016 | 6 | |
| 4 | 2016 | 12 | |
| 5 | 2016 | 7 | |
| 6 | 2014 | 6 | |
| 7 | 2014 | 0 | |
| 8 | 2014 | 1 | |
| 9 | 2013 | 3 | |
| 10 | 2012 | 5 | |
| 11 | 2011 | 6 | |
| 12 | 2010 | 8 | |
| 13 | 2010 | 15 | |
| 14 | 2008 | 10 | |
| 15 | 2007 | 7 | |
| 16 | 2007 | 55 | |
| 17 | 2004 | 423 | |
| 18 | 1999 | 3 | |
| 19 | 1999 | 2 | |
| 20 | 1997 | 3 |
About Soon‐Hyung Yook
Soon‐Hyung Yook is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Mathematical Physics, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (36 papers), Opinion Dynamics and Social Influence (26 papers), Theoretical and Computational Physics (19 papers), Stochastic processes and statistical mechanics (11 papers), Complex Systems and Time Series Analysis (8 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Evolutionary Game Theory and Cooperation (7 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (968 citations), Condensed Matter Physics (174 citations) and Computer Networks and Communications (287 citations). Soon‐Hyung Yook has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Albert-Ĺaszló Barabási, Hawoong Jeong, Zoltán N. Oltvai, Yup Kim, Yuhai Tu, Sungmin Lee, Hildegard Meyer‐Ortmanns, Filippo Radicchi, S. Y. Yoon and Zoltán Eisler. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.
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.