Robert Clewley
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- stochastic dynamics and bifurcation
Papers in
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- Neural dynamics and brain function 8
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- stochastic dynamics and bifurcation 7
- Co-authors
- Tara Keck (1 shared paper)John A. White (1 shared paper)Théoden I. Netoff (1 shared paper)Andrey Shilnikov (2 shared papers)Justus T. C. Schwabedal (1 shared paper)Francisco J. Valero‐Cuevas (1 shared paper)John Guckenheimer (1 shared paper)Ritu Aneja (2 shared papers)
- Journals
- Journal of Computational Neuroscience (3 papers)BMC Neuroscience (2 papers)Cell Death and Disease (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Multiscale Modeling and Simulation (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Robert Clewley
14 papers receiving 543 citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 347
- Statistical and Nonlinear Physics 157
- Cellular and Molecular Neuroscience 129
- Computer Networks and Communications 109
- 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-authors
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 | 2004 | 262 | |
| 2 | 2012 | 56 | |
| 3 | 2014 | 52 | |
| 4 | 2012 | 34 | |
| 5 | 2011 | 34 | |
| 6 | 2014 | 27 | |
| 7 | 2008 | 26 | |
| 8 | 2011 | 25 | |
| 9 | 2005 | 19 | |
| 10 | 2008 | 11 | |
| 11 | 2011 | 9 | |
| 12 | 2010 | 6 | |
| 13 | 2014 | 4 | |
| 14 | 2010 | 1 |
About Robert Clewley
Robert Clewley is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology and Artificial Intelligence, having authored 14 papers that have together received 566 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), Microtubule and mitosis dynamics (2 papers), Neural Networks and Applications (2 papers), Advanced Memory and Neural Computing (2 papers), Gene Regulatory Network Analysis (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cognitive Neuroscience (347 citations), Statistical and Nonlinear Physics (157 citations), Cellular and Molecular Neuroscience (129 citations), Computer Networks and Communications (109 citations) and Cell Biology (48 citations). Robert Clewley has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Tara Keck, John A. White, Théoden I. Netoff, Andrey Shilnikov, Justus T. C. Schwabedal, Francisco J. Valero‐Cuevas, John Guckenheimer, Ritu Aneja, Angela Ogden and Anthony Cheng. Their work appears in journals such as Journal of Computational Neuroscience, BMC Neuroscience, Cell Death and Disease, IEEE Transactions on Biomedical Engineering and Multiscale Modeling and Simulation.
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.