J. Radcliffe
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 19
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics 10
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models 3
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- Mathematical and Theoretical Epidemiology and Ecology Models 19
- Genetics top 10%
- Evolution and Genetic Dynamics 8
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- Bayesian Methods and Mixture Models 4
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- Virology and Viral Diseases 4
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- Advanced Queuing Theory Analysis 3
- Co-authors
- Peter JagersNorman T. J. Bailey
- Journals
- Journal of Applied Probability (16 papers)Mathematical Biosciences (10 papers)Journal of Mathematical Biology (4 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
J. Radcliffe
41 papers receiving 795 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 284
- Mathematical Physics 382
- Statistics and Probability 139
- Public Health, Environmental and Occupational Health 361
- Genetics 214
Countries citing papers authored by J. Radcliffe
This map shows the geographic impact of J. Radcliffe'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. Radcliffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Radcliffe more than expected).
Fields of papers citing papers by J. Radcliffe
This network shows the impact of papers produced by J. Radcliffe. 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. Radcliffe. The network helps show where J. Radcliffe may publish in the future.
Co-authorship network
The 2 scholars most cited alongside J. Radcliffe, 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 | 2003 | 80 | |
| 2 | Global Asymptotic Convergence Results for Multitype Models | 2000 | 14 |
| 3 | 1999 | 1 | |
| 4 | 1999 | 1 | |
| 5 | 1998 | 1 | |
| 6 | 1998 | 1 | |
| 7 | 1997 | 6 | |
| 8 | 1996 | 2 | |
| 9 | 1985 | 3 | |
| 10 | 1984 | 12 | |
| 11 | 1982 | 8 | |
| 12 | Branching Processes with Biological Applicationsbreakdown → | 1977 | 561 |
| 13 | 1976 | 5 | |
| 14 | 1976 | 1 | |
| 15 | 1974 | 1 | |
| 16 | 1974 | 4 | |
| 17 | 1974 | 2 | |
| 18 | 1972 | 8 | |
| 19 | 1972 | 14 | |
| 20 | 1968 | 4 |
About J. Radcliffe
J. Radcliffe is a scholar working on Modeling and Simulation, Mathematical Physics, Public Health, Environmental and Occupational Health, Statistics and Probability and Management Information Systems, having authored 44 papers that have together received 887 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (19 papers), Mathematical and Theoretical Epidemiology and Ecology Models (19 papers), Stochastic processes and statistical mechanics (10 papers), Evolution and Genetic Dynamics (8 papers), Bayesian Methods and Mixture Models (4 papers), Virology and Viral Diseases (4 papers), Advanced Statistical Methods and Models (3 papers) and Advanced Queuing Theory Analysis (3 papers). The work is most often cited by research in Modeling and Simulation (284 citations), Mathematical Physics (382 citations), Statistics and Probability (139 citations), Public Health, Environmental and Occupational Health (361 citations) and Genetics (214 citations). J. Radcliffe has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Peter Jagers and Norman T. J. Bailey. Their work appears in journals such as Journal of Applied Probability, Mathematical Biosciences, Journal of Mathematical Biology, Mathematical Proceedings of the Cambridge Philosophical Society and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.