J. E. Moyal
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
Papers in
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- Stochastic processes and statistical mechanics 6
-
- Markov Chains and Monte Carlo Methods 4
- Fuzzy Systems and Optimization 2
- Co-authors
- Peter J. Brockwell (4 shared papers)C. R. Heathcote (1 shared paper)David A. Edwards (1 shared paper)David G. Kendall (1 shared paper)Y. Avishai (1 shared paper)H. Ekstein (1 shared paper)
- Journals
- Journal of Applied Probability (6 papers)Mathematical Proceedings of the Cambridge Philosophical Society (2 papers)Journal of Mathematical Analysis and Applications (2 papers)Acta Mathematica (2 papers)Advances in Applied Probability (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
J. E. Moyal
22 papers receiving 440 citations
Peers
Comparison fields: 5 of 82
- Mathematical Physics 178
- Statistics and Probability 69
- Applied Mathematics 83
- Radiation 50
- Finance 45
Countries citing papers authored by J. E. Moyal
This map shows the geographic impact of J. E. Moyal'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 J. E. Moyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. E. Moyal more than expected).
Fields of papers citing papers by J. E. Moyal
This network shows the impact of papers produced by J. E. Moyal. 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 J. E. Moyal. The network helps show where J. E. Moyal may publish in the future.
Co-authors
The 6 scholars most cited alongside J. E. Moyal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1962 | 181 | |
| 2 | 1955 | 82 | |
| 3 | 1952 | 56 | |
| 4 | 1957 | 34 | |
| 5 | 1962 | 30 | |
| 6 | 1963 | 29 | |
| 7 | 1964 | 24 | |
| 8 | 1964 | 22 | |
| 9 | 1959 | 19 | |
| 10 | 1955 | 12 | |
| 11 | 1964 | 11 | |
| 12 | 1966 | 10 | |
| 13 | 1966 | 9 | |
| 14 | 1969 | 8 | |
| 15 | 1956 | 5 | |
| 16 | 1957 | 4 | |
| 17 | 1972 | 4 | |
| 18 | 1966 | 4 | |
| 19 | 1972 | 2 | |
| 20 | 1965 | 2 |
About J. E. Moyal
J. E. Moyal is a scholar working on Mathematical Physics, Statistics and Probability, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Radiation, having authored 23 papers that have together received 552 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (6 papers), Markov Chains and Monte Carlo Methods (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Quantum Mechanics and Applications (3 papers), Radioactive Decay and Measurement Techniques (3 papers), Statistical Mechanics and Entropy (3 papers), Advanced Queuing Theory Analysis (2 papers) and Fuzzy Systems and Optimization (2 papers). The work is most often cited by research in Mathematical Physics (178 citations), Statistics and Probability (69 citations), Applied Mathematics (83 citations), Radiation (50 citations) and Finance (45 citations). J. E. Moyal has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Peter J. Brockwell, C. R. Heathcote, David A. Edwards, David G. Kendall, Y. Avishai and H. Ekstein. Their work appears in journals such as Journal of Applied Probability, Mathematical Proceedings of the Cambridge Philosophical Society, Journal of Mathematical Analysis and Applications, Acta Mathematica and Advances in Applied Probability.
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.