Patrick N. McGraw
Impact in
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- Complex Network Analysis Techniques
- stochastic dynamics and bifurcation
- Opinion Dynamics and Social Influence
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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 10
- Neural Networks Stability and Synchronization 3
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- stochastic dynamics and bifurcation 6
- Co-authors
- Michael Menzinger (13 shared papers)Alberto P. Muñuzuri (2 shared papers)David G. Míguez (1 shared paper)Y. Jack Ng (1 shared paper)I. A. Shovkovy (1 shared paper)
- Journals
- Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (2 papers)UNC Libraries (1 paper)Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics (4 papers)Physical Review E (9 papers)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Patrick N. McGraw
15 papers receiving 363 citations
Peers
Comparison fields: 5 of 52
- Statistical and Nonlinear Physics 170
- Computer Networks and Communications 196
- Cognitive Neuroscience 94
- Computational Mathematics 2
- Condensed Matter Physics 33
Countries citing papers authored by Patrick N. McGraw
This map shows the geographic impact of Patrick N. McGraw'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 Patrick N. McGraw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick N. McGraw more than expected).
Fields of papers citing papers by Patrick N. McGraw
This network shows the impact of papers produced by Patrick N. McGraw. 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 Patrick N. McGraw. The network helps show where Patrick N. McGraw may publish in the future.
Co-authors
The 5 scholars most cited alongside Patrick N. McGraw, 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 | 2005 | 91 | |
| 2 | 2008 | 77 | |
| 3 | 2003 | 62 | |
| 4 | 1998 | 38 | |
| 5 | 2007 | 25 | |
| 6 | 2011 | 19 | |
| 7 | 2003 | 18 | |
| 8 | 2005 | 11 | |
| 9 | 1994 | 9 | |
| 10 | 2009 | 6 | |
| 11 | 2003 | 6 | |
| 12 | 2009 | 5 | |
| 13 | 2005 | 5 | |
| 14 | 2003 | 2 | |
| 15 | 2012 | 1 | |
| 16 | 2021 | 0 |
About Patrick N. McGraw
Patrick N. McGraw is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 16 papers that have together received 375 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (10 papers), stochastic dynamics and bifurcation (6 papers), Neural dynamics and brain function (5 papers), Neural Networks Stability and Synchronization (3 papers), Neural Networks and Applications (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Quantum, superfluid, helium dynamics (2 papers) and Laser-Matter Interactions and Applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (170 citations), Computer Networks and Communications (196 citations), Cognitive Neuroscience (94 citations), Computational Mathematics (2 citations) and Condensed Matter Physics (33 citations). Patrick N. McGraw has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Michael Menzinger, Alberto P. Muñuzuri, David G. Míguez, Y. Jack Ng and I. A. Shovkovy. Their work appears in journals such as Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields, UNC Libraries, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics and Physical Review E.
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.