Robert Clewley
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
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- stochastic dynamics and bifurcation
Papers in
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- stochastic dynamics and bifurcation 7
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- Neural dynamics and brain function 8
- Motor Control and Adaptation 1
- Co-authors
- John A. WhiteThéoden I. NetoffTara KeckAndrey ShilnikovJustus T. C. SchwabedalJohn GuckenheimerFrancisco J. Valero‐CuevasAnthony Cheng
- Journals
- Journal of Computational Neuroscience (3 papers)Cell Death and Disease (2 papers)BMC Neuroscience (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Robert Clewley
14 papers receiving 514 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 334
- Statistical and Nonlinear Physics 148
- Cellular and Molecular Neuroscience 121
- Computer Networks and Communications 104
- Cell Biology 48
Countries citing papers authored by Robert Clewley
This map shows the geographic impact of Robert Clewley'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 Robert Clewley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Clewley more than expected).
Fields of papers citing papers by Robert Clewley
This network shows the impact of papers produced by Robert Clewley. 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 Robert Clewley. The network helps show where Robert Clewley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Clewley, 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 | 2014 | 4 | |
| 2 | 2014 | 48 | |
| 3 | 2014 | 26 | |
| 4 | 2012 | 33 | |
| 5 | 2012 | 55 | |
| 6 | 2011 | 34 | |
| 7 | 2011 | 9 | |
| 8 | 2011 | 24 | |
| 9 | 2010 | 6 | |
| 10 | 2010 | 1 | |
| 11 | 2008 | 11 | |
| 12 | 2008 | 25 | |
| 13 | 2005 | 18 | |
| 14 | 2004 | 239 |
About Robert Clewley
Robert Clewley is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Cell Biology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 533 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), stochastic dynamics and bifurcation (7 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Neural Networks and Applications (2 papers), Gene Regulatory Network Analysis (2 papers), Advanced Memory and Neural Computing (2 papers), Microtubule and mitosis dynamics (2 papers) and Motor Control and Adaptation (1 paper). The work is most often cited by research in Cognitive Neuroscience (334 citations), Statistical and Nonlinear Physics (148 citations), Cellular and Molecular Neuroscience (121 citations), Computer Networks and Communications (104 citations) and Cell Biology (48 citations). Robert Clewley has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include John A. White, Théoden I. Netoff, Tara Keck, Andrey Shilnikov, Justus T. C. Schwabedal, John Guckenheimer, Francisco J. Valero‐Cuevas, Anthony Cheng, Vaishali Pannu and Angela Ogden. Their work appears in journals such as Journal of Computational Neuroscience, Cell Death and Disease, BMC Neuroscience, IEEE Transactions on Biomedical Engineering and PLoS Computational 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.