Nikos E. Kouvaris
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- stochastic dynamics and bifurcation
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Nonlinear Dynamics and Pattern Formation 16
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- stochastic dynamics and bifurcation 6
- Complex Network Analysis Techniques 5
- Opinion Dynamics and Social Influence 4
- Co-authors
- Albert Dı́az-Guilera (5 shared papers)Albert Solé‐Ribalta (1 shared paper)Manlio De Domenico (1 shared paper)Sergio Gómez (1 shared paper)Àlex Arenas (1 shared paper)Alexander S. Mikhailov (3 shared papers)Hiroshi Kori (1 shared paper)A. Provata (4 shared papers)
In The Last Decade
Nikos E. Kouvaris
19 papers receiving 433 citations
Peers
Comparison fields: 5 of 76
- Statistical and Nonlinear Physics 256
- Computer Networks and Communications 242
- Cognitive Neuroscience 74
- Modeling and Simulation 14
- Computational Theory and Mathematics 36
Countries citing papers authored by Nikos E. Kouvaris
This map shows the geographic impact of Nikos E. Kouvaris'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 Nikos E. Kouvaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikos E. Kouvaris more than expected).
Fields of papers citing papers by Nikos E. Kouvaris
This network shows the impact of papers produced by Nikos E. Kouvaris. 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 Nikos E. Kouvaris. The network helps show where Nikos E. Kouvaris may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikos E. Kouvaris, 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 | 2013 | 159 | |
| 2 | 2015 | 88 | |
| 3 | 2012 | 40 | |
| 4 | 2017 | 25 | |
| 5 | 2009 | 21 | |
| 6 | 2019 | 20 | |
| 7 | 2010 | 16 | |
| 8 | 2018 | 12 | |
| 9 | 2013 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2010 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2017 | 6 | |
| 14 | 2016 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2009 | 3 | |
| 17 | 2008 | 3 | |
| 18 | 2011 | 2 | |
| 19 | 2018 | 1 |
About Nikos E. Kouvaris
Nikos E. Kouvaris is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Biomedical Engineering and Sociology and Political Science, having authored 19 papers that have together received 444 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (16 papers), stochastic dynamics and bifurcation (6 papers), Complex Network Analysis Techniques (5 papers), Neural dynamics and brain function (5 papers), Opinion Dynamics and Social Influence (4 papers), Slime Mold and Myxomycetes Research (4 papers), Evolutionary Game Theory and Cooperation (3 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (256 citations), Computer Networks and Communications (242 citations), Cognitive Neuroscience (74 citations), Modeling and Simulation (14 citations) and Computational Theory and Mathematics (36 citations). Nikos E. Kouvaris has collaborated with scholars based in Greece, Spain and Germany. Frequent co-authors include Albert Dı́az-Guilera, Albert Solé‐Ribalta, Manlio De Domenico, Sergio Gómez, Àlex Arenas, Alexander S. Mikhailov, Hiroshi Kori, A. Provata, Dimitris Kugiumtzis and Lutz Schimansky-Geier. Their work appears in journals such as Physical review. E, The European Physical Journal B, Scientific Reports, NeuroImage and New Journal of Physics.
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.