N. G. Stocks
- Statistical and Nonlinear Physics top 0.2%
- Computer Networks and Communications top 1%
- Cognitive Neuroscience top 5%
- Global and Planetary Change top 5%
- Statistics, Probability and Uncertainty top 0.5%
- Co-authors
- P. V. E. McClintockR. MannellaM. I. DykmanN. D. SteinD. G. LuchinskyAlexander P. NikitinRobert P. MorseS. M. Soskin
- Topics
- stochastic dynamics and bifurcation (56 papers)Nonlinear Dynamics and Pattern Formation (29 papers)Advanced Thermodynamics and Statistical Mechanics (19 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyComputer Networks and Communications
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
N. G. Stocks
66 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 91
- Statistical and Nonlinear Physics 2.1k
- Computer Networks and Communications 995
- Cognitive Neuroscience 599
- Global and Planetary Change 540
- Statistics, Probability and Uncertainty 479
Countries citing papers authored by N. G. Stocks
This map shows the geographic impact of N. G. Stocks'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 N. G. Stocks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. G. Stocks more than expected).
Fields of papers citing papers by N. G. Stocks
This network shows the impact of papers produced by N. G. Stocks. 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 N. G. Stocks. The network helps show where N. G. Stocks may publish in the future.
Co-authorship network of co-authors of N. G. Stocks
This figure shows the co-authorship network connecting the top 25 collaborators of N. G. Stocks. A scholar is included among the top collaborators of N. G. Stocks 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 N. G. Stocks. N. G. Stocks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 27 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 31 | |
| 8 | 173 | |
| 9 | 116 | |
| 10 | 2 | |
| 11 | 75 | |
| 12 | 157 | |
| 13 | Simulation of critical phenomena in nonlinear optical systems. | 4 |
| 14 | 19 | |
| 15 | 56 | |
| 16 | 28 | |
| 17 | 4 | |
| 18 | 94 | |
| 19 | 23 | |
| 20 | 10 |
About N. G. Stocks
N. G. Stocks is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 66 papers that have together received 2.4k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (56 papers), Nonlinear Dynamics and Pattern Formation (29 papers) and Advanced Thermodynamics and Statistical Mechanics (19 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.1k citations), Statistics, Probability and Uncertainty (479 citations) and Computer Networks and Communications (995 citations). N. G. Stocks has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include P. V. E. McClintock, R. Mannella, M. I. Dykman, N. D. Stein, D. G. Luchinsky, Alexander P. Nikitin, Robert P. Morse, S. M. Soskin, Adi R. Bulsara and David Allingham. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review A.
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.