P. V. E. McClintock
- Statistical and Nonlinear Physics top 0.02%
- Computer Networks and Communications top 0.2%
- Atomic and Molecular Physics, and Optics top 0.5%
- Cognitive Neuroscience top 1%
- Biomedical Engineering top 2%
- Co-authors
- Aneta StefanovskaR. MannellaD. G. LuchinskyM. I. DykmanN. G. StocksFrank MossN. D. SteinP. S. Landa
- Topics
- stochastic dynamics and bifurcation (153 papers)Quantum, superfluid, helium dynamics (150 papers)Nonlinear Dynamics and Pattern Formation (128 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsAtomic and Molecular Physics, and Optics
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
P. V. E. McClintock
480 papers receiving 11.3k citations
Peers
Comparison fields: 5 of 185
- Statistical and Nonlinear Physics 5.8k
- Computer Networks and Communications 3.6k
- Atomic and Molecular Physics, and Optics 3.5k
- Cognitive Neuroscience 1.7k
- Biomedical Engineering 1.2k
Countries citing papers authored by P. V. E. McClintock
This map shows the geographic impact of P. V. E. McClintock'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 P. V. E. McClintock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. V. E. McClintock more than expected).
Fields of papers citing papers by P. V. E. McClintock
This network shows the impact of papers produced by P. V. E. McClintock. 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 P. V. E. McClintock. The network helps show where P. V. E. McClintock may publish in the future.
Co-authorship network of co-authors of P. V. E. McClintock
This figure shows the co-authorship network connecting the top 25 collaborators of P. V. E. McClintock. A scholar is included among the top collaborators of P. V. E. McClintock 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 P. V. E. McClintock. P. V. E. McClintock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 27 | |
| 12 | 29 | |
| 13 | 8 | |
| 14 | 16 | |
| 15 | 5 | |
| 16 | 29 | |
| 17 | 13 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 20 |
About P. V. E. McClintock
P. V. E. McClintock is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications, having authored 501 papers that have together received 11.6k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (153 papers), Quantum, superfluid, helium dynamics (150 papers) and Nonlinear Dynamics and Pattern Formation (128 papers). The work is most often cited by research in Statistical and Nonlinear Physics (5.8k citations), Computer Networks and Communications (3.6k citations) and Atomic and Molecular Physics, and Optics (3.5k citations). P. V. E. McClintock has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Aneta Stefanovska, R. Mannella, D. G. Luchinsky, M. I. Dykman, N. G. Stocks, Frank Moss, N. D. Stein, P. S. Landa, Tomislav Stankovski and P. C. Hendry. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.