Seth A. Marvel
Impact in
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- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- stochastic dynamics and bifurcation
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Complex Network Analysis Techniques 3
- Opinion Dynamics and Social Influence 3
- Chaos control and synchronization 2
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- Nonlinear Dynamics and Pattern Formation 2
- Co-authors
- Steven H. Strogatz (5 shared papers)Jon Kleinberg (2 shared papers)Robert Kleinberg (1 shared paper)Renato Mirollo (2 shared papers)Joel D. Morrisett (1 shared paper)Hyunsuk Hong (1 shared paper)
- Journals
- Physical Review Letters (2 papers)Proceedings of the National Academy of Sciences (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Seth A. Marvel
6 papers receiving 555 citations
Peers
Comparison fields: 5 of 80
- Statistical and Nonlinear Physics 390
- Computer Networks and Communications 204
- Cognitive Neuroscience 62
- Sociology and Political Science 128
- Management Science and Operations Research 36
Countries citing papers authored by Seth A. Marvel
This map shows the geographic impact of Seth A. Marvel'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 Seth A. Marvel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seth A. Marvel more than expected).
Fields of papers citing papers by Seth A. Marvel
This network shows the impact of papers produced by Seth A. Marvel. 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 Seth A. Marvel. The network helps show where Seth A. Marvel may publish in the future.
Co-authors
The 6 scholars most cited alongside Seth A. Marvel, 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 | 2011 | 205 | |
| 2 | 2009 | 147 | |
| 3 | 2009 | 134 | |
| 4 | 2012 | 44 | |
| 5 | 2005 | 41 | |
| 6 | Sinusoidally coupled phase oscillators evolve by Mobius group action | 2009 | 1 |
About Seth A. Marvel
Seth A. Marvel is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Nephrology and Sociology and Political Science, having authored 6 papers that have together received 572 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Chaos control and synchronization (2 papers), Bone health and osteoporosis research (1 paper), Bone and Joint Diseases (1 paper), Game Theory and Applications (1 paper) and Media Influence and Politics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (390 citations), Computer Networks and Communications (204 citations), Cognitive Neuroscience (62 citations), Sociology and Political Science (128 citations) and Management Science and Operations Research (36 citations). Seth A. Marvel has collaborated with scholars based in United States and South Korea. Frequent co-authors include Steven H. Strogatz, Jon Kleinberg, Robert Kleinberg, Renato Mirollo, Joel D. Morrisett and Hyunsuk Hong. Their work appears in journals such as Physical Review Letters, Proceedings of the National Academy of Sciences, Arteriosclerosis Thrombosis and Vascular Biology, Chaos An Interdisciplinary Journal of Nonlinear Science and arXiv (Cornell University).
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.