J. Radcliffe
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Mathematical Biology Tumor Growth
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 19
-
- COVID-19 epidemiological studies 19
- Journals
- Journal of Applied Probability (16 papers)Mathematical Biosciences (10 papers)Mathematical Proceedings of the Cambridge Philosophical Society (4 papers)Journal of Mathematical Biology (4 papers)International Journal of Applied Mathematics and Computer Science (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
J. Radcliffe
41 papers receiving 799 citations
J. Radcliffe's Hit Papers
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 283
- Mathematical Physics 384
- Statistics and Probability 139
- Public Health, Environmental and Occupational Health 363
- Genetics 215
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-authors
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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Branching Processes with Biological Applications Hit paper breakdown → | 1977 | 566 |
| 2 | 2003 | 80 | |
| 3 | 1986 | 26 | |
| 4 | 1973 | 19 | |
| 5 | 1973 | 18 | |
| 6 | Global Asymptotic Convergence Results for Multitype Models | 2000 | 14 |
| 7 | 1983 | 14 | |
| 8 | 1972 | 14 | |
| 9 | 1984 | 12 | |
| 10 | 1984 | 10 | |
| 11 | 1984 | 9 | |
| 12 | 1984 | 9 | |
| 13 | 1977 | 9 | |
| 14 | 1982 | 8 | |
| 15 | 1972 | 8 | |
| 16 | 1974 | 8 | |
| 17 | 1966 | 6 | |
| 18 | 1976 | 6 | |
| 19 | 1997 | 6 | |
| 20 | 1976 | 5 |
About J. Radcliffe
J. Radcliffe is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Mathematical Physics, Genetics and Statistical and Nonlinear Physics, having authored 44 papers that have together received 892 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), Virology and Viral Diseases (4 papers), Bayesian Methods and Mixture Models (4 papers), Advanced Queuing Theory Analysis (3 papers) and Probability and Risk Models (3 papers). The work is most often cited by research in Modeling and Simulation (283 citations), Mathematical Physics (384 citations), Statistics and Probability (139 citations), Public Health, Environmental and Occupational Health (363 citations) and Genetics (215 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, Mathematical Proceedings of the Cambridge Philosophical Society, Journal of Mathematical Biology and International Journal of Applied Mathematics and Computer Science.
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.