Ronald Pyke
- Statistics and Probability top 0.1%
- Statistical Methods and Inference 7
- Markov Chains and Monte Carlo Methods 5
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- Probability and Risk Models 7
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics 8
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- Probabilistic and Robust Engineering Design 4
- Finance top 2%
- Stochastic processes and financial applications 11
- Financial Risk and Volatility Modeling 5
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- Bayesian Methods and Mixture Models 8
- Co-authors
- Ross L. PrenticePatrick BillingsleyGalen R. ShorackFrank ProschanRichard F. BassCharles HobbyDavid E. MatthewsVernon T. Farewell
- Journals
- The Annals of Probability (10 papers)Probability Theory and Related Fields (4 papers)Stochastic Processes and their Applications (3 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Ronald Pyke
53 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Statistics and Probability 1.6k
- Management Science and Operations Research 569
- Mathematical Physics 404
- Statistics, Probability and Uncertainty 296
- Finance 394
Countries citing papers authored by Ronald Pyke
This map shows the geographic impact of Ronald Pyke'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 Ronald Pyke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald Pyke more than expected).
Fields of papers citing papers by Ronald Pyke
This network shows the impact of papers produced by Ronald Pyke. 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 Ronald Pyke. The network helps show where Ronald Pyke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ronald Pyke, 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 | 1987 | 14 | |
| 2 | 1986 | 37 | |
| 3 | 1985 | 12 | |
| 4 | 1985 | 12 | |
| 5 | 1984 | 9 | |
| 6 | 1984 | 14 | |
| 7 | 1983 | 31 | |
| 8 | 1983 | 2 | |
| 9 | 1980 | 12 | |
| 10 | 1975 | 0 | |
| 11 | 1968 | 9 | |
| 12 | 1968 | 28 | |
| 13 | 1967 | 0 | |
| 14 | 1966 | 57 | |
| 15 | 1965 | 20 | |
| 16 | 1964 | 9 | |
| 17 | 1960 | 32 | |
| 18 | 1960 | 3 | |
| 19 | 1959 | 93 | |
| 20 | 1957 | 102 |
About Ronald Pyke
Ronald Pyke is a scholar working on Statistics and Probability, Mathematical Physics, Finance, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 58 papers that have together received 3.3k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Bayesian Methods and Mixture Models (8 papers), Stochastic processes and statistical mechanics (8 papers), Statistical Methods and Inference (7 papers), Probability and Risk Models (7 papers), Financial Risk and Volatility Modeling (5 papers), Markov Chains and Monte Carlo Methods (5 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Management Science and Operations Research (569 citations), Mathematical Physics (404 citations), Statistics, Probability and Uncertainty (296 citations) and Finance (394 citations). Ronald Pyke has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Ross L. Prentice, Patrick Billingsley, Galen R. Shorack, Frank Proschan, Richard F. Bass, Charles Hobby, David E. Matthews, Vernon T. Farewell, Sidney Siegel and D. A. S. Fraser. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Stochastic Processes and their Applications, Advances in Applied Probability and Journal of the American Statistical Association.
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.