Ronald Pyke

5.0k citations
58 papers · 3.3k · 3 hit papers · h-index 22

Impact in

Papers in

    • Statistical Methods and Inference 7
    • Markov Chains and Monte Carlo Methods 5
    • Statistical Distribution Estimation and Applications 4
    • Stochastic processes and financial applications 11
    • Financial Risk and Volatility Modeling 5

Ronald Pyke

54 papers receiving 2.8k citations

Ronald Pyke's Hit Papers

Logistic disease incidence models and case-control studies 1979 · 776 citations
7760+21+43Years since publication250500750

Peers

Ronald Pyke
Comparison fields: 5 of 162
  • Statistics and Probability 1.6k
  • Management Science and Operations Research 570
  • Mathematical Physics 405
  • Statistics, Probability and Uncertainty 299
  • Finance 395
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Citations per field
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Citations per year

Countries citing papers authored by Ronald Pyke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Ronald Pyke Line = papers co-authored together Ronald Pyke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Logistic disease incidence models and case-control studies
Hit paper breakdown →
1979776
2
Statistical Inference for Markov Processes
Hit paper breakdown →
1963394
3 1965328
4
Markov Renewal Processes: Definitions and Preliminary Properties
Hit paper breakdown →
1961326
5 1961293
6 1964137
7 1968115
8 1957102
9 195992
10 198580
11
Tests for monotone failure rate
196776
12 196657
13 196850
14 196546
15 195842
16 198637
17 196032
18 198331
19 196828
20 195927

About Ronald Pyke

Ronald Pyke is a scholar working on Statistics and Probability, Finance, Mathematical Physics, Management Science and Operations Research and Artificial Intelligence, 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), Stochastic processes and statistical mechanics (8 papers), Bayesian Methods and Mixture Models (8 papers), Probability and Risk Models (7 papers), Statistical Methods and Inference (7 papers), Markov Chains and Monte Carlo Methods (5 papers), Financial Risk and Volatility Modeling (5 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Management Science and Operations Research (570 citations), Mathematical Physics (405 citations), Statistics, Probability and Uncertainty (299 citations) and Finance (395 citations). Ronald Pyke has collaborated with scholars based in United States, Australia and Germany. 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 Ronald Aylmer Fisher. 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.

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