John S. Nicolis
Impact in
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- Chaos control and synchronization
- Statistical Mechanics and Entropy
- Complex Systems and Dynamics
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Chaos control and synchronization 6
- Statistical Mechanics and Entropy 4
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- Neural Networks and Applications 8
- Co-authors
- Ichiro Tsuda (4 shared papers)E.N. Protonotarios (6 shared papers)C. Nicolis (2 shared papers)G. Nìcolis (2 shared papers)G. Galanos (1 shared paper)M. Theologou (1 shared paper)Tassos Bountis (2 shared papers)
- Journals
- Kybernetes (4 papers)Chaos Solitons & Fractals (3 papers)Journal of Theoretical Biology (2 papers)Proceedings of the IEEE (2 papers)Bulletin of Mathematical Biology (2 papers)
- Partner nations
- GreeceUnited StatesGermany
In The Last Decade
John S. Nicolis
35 papers receiving 650 citations
Peers
Comparison fields: 5 of 107
- Statistical and Nonlinear Physics 265
- Cognitive Neuroscience 139
- Statistics, Probability and Uncertainty 37
- Artificial Intelligence 150
- Computer Networks and Communications 95
Countries citing papers authored by John S. Nicolis
This map shows the geographic impact of John S. Nicolis'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 John S. Nicolis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Nicolis more than expected).
Fields of papers citing papers by John S. Nicolis
This network shows the impact of papers produced by John S. Nicolis. 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 John S. Nicolis. The network helps show where John S. Nicolis may publish in the future.
Co-authors
The 7 scholars most cited alongside John S. Nicolis, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 150 | |
| 2 | 1986 | 87 | |
| 3 | 1985 | 70 | |
| 4 | 1991 | 63 | |
| 5 | 1983 | 56 | |
| 6 | 1989 | 34 | |
| 7 | 1986 | 30 | |
| 8 | 1985 | 27 | |
| 9 | 1985 | 27 | |
| 10 | 1989 | 14 | |
| 11 | 1982 | 13 | |
| 12 | 1975 | 13 | |
| 13 | 1976 | 12 | |
| 14 | 1973 | 11 | |
| 15 | 2004 | 9 | |
| 16 | Mathematical description of brain dynamics in perception and action | 1999 | 8 |
| 17 | 2001 | 8 | |
| 18 | 1984 | 8 | |
| 19 | 1979 | 7 | |
| 20 | 1978 | 7 |
About John S. Nicolis
John S. Nicolis is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology, Economics and Econometrics and Cognitive Neuroscience, having authored 39 papers that have together received 709 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Fractal and DNA sequence analysis (7 papers), Complex Systems and Time Series Analysis (7 papers), Chaos control and synchronization (6 papers), Radio Wave Propagation Studies (4 papers), Statistical Mechanics and Entropy (4 papers), Neural dynamics and brain function (3 papers) and Cognitive Science and Education Research (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (265 citations), Cognitive Neuroscience (139 citations), Statistics, Probability and Uncertainty (37 citations), Artificial Intelligence (150 citations) and Computer Networks and Communications (95 citations). John S. Nicolis has collaborated with scholars based in Greece, United States and Germany. Frequent co-authors include Ichiro Tsuda, E.N. Protonotarios, C. Nicolis, G. Nìcolis, G. Galanos, M. Theologou and Tassos Bountis. Their work appears in journals such as Kybernetes, Chaos Solitons & Fractals, Journal of Theoretical Biology, Proceedings of the IEEE and Bulletin of Mathematical Biology.
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.