George T. Cantwell
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Cognitive Neuroscience
- Experimental and Cognitive Psychology
- Molecular Biology
- Co-authors
- M. E. J. NewmanJean-Gabriel YoungAlec KirkleyMaria A. RioloGesine ReinertF. Gregory AshbyMatthew J. CrossleyGuillaume St-Onge
- Topics
- Complex Network Analysis Techniques (11 papers)Opinion Dynamics and Social Influence (8 papers)Mental Health Research Topics (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational MathematicsExperimental and Cognitive Psychology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
George T. Cantwell
14 papers receiving 318 citations
Peers
Comparison fields: 5 of 71
- Statistical and Nonlinear Physics 210
- Artificial Intelligence 57
- Cognitive Neuroscience 53
- Experimental and Cognitive Psychology 40
- Molecular Biology 39
Countries citing papers authored by George T. Cantwell
This map shows the geographic impact of George T. Cantwell'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 George T. Cantwell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George T. Cantwell more than expected).
Fields of papers citing papers by George T. Cantwell
This network shows the impact of papers produced by George T. Cantwell. 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 George T. Cantwell. The network helps show where George T. Cantwell may publish in the future.
Co-authorship network of co-authors of George T. Cantwell
This figure shows the co-authorship network connecting the top 25 collaborators of George T. Cantwell. A scholar is included among the top collaborators of George T. Cantwell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George T. Cantwell. George T. Cantwell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | Robust Bayesian inference of network structure from unreliable data | 2 |
| 7 | 43 | |
| 8 | 23 | |
| 9 | 41 | |
| 10 | 69 | |
| 11 | 45 | |
| 12 | 14 | |
| 13 | 49 | |
| 14 | 7 | |
| 15 | 26 |
About George T. Cantwell
George T. Cantwell is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 15 papers that have together received 335 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (8 papers) and Mental Health Research Topics (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (210 citations), Computational Mathematics (3 citations) and Experimental and Cognitive Psychology (40 citations). George T. Cantwell has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include M. E. J. Newman, Jean-Gabriel Young, Alec Kirkley, Maria A. Riolo, Gesine Reinert, F. Gregory Ashby, Matthew J. Crossley, Guillaume St-Onge, Benjamin F. Maier and Maximilian Riesenhuber. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Neural Networks.
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.