Frank Ball
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- COVID-19 epidemiological studies 76
-
- Mathematical and Theoretical Epidemiology and Ecology Models 61
- Co-authors
- Pieter Trapman (13 shared papers)Tom Britton (16 shared papers)Mark S.P. Sansom (13 shared papers)Denis Mollison (4 shared papers)Gianpaolo Scalia‐Tomba (2 shared papers)David Sirl (14 shared papers)Peter Donnelly (5 shared papers)Damian Clancy (7 shared papers)
- Journals
- Advances in Applied Probability (41 papers)Journal of Applied Probability (36 papers)Mathematical Biosciences (14 papers)Journal of Mathematical Biology (9 papers)Biophysical Journal (5 papers)
- Partner nations
- United KingdomAustraliaSweden
In The Last Decade
Frank Ball
159 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 153
- Modeling and Simulation 1.9k
- Statistical and Nonlinear Physics 888
- Mathematical Physics 506
- Public Health, Environmental and Occupational Health 1.3k
- Statistics and Probability 346
Countries citing papers authored by Frank Ball
This map shows the geographic impact of Frank Ball'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 Frank Ball with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Ball more than expected).
Fields of papers citing papers by Frank Ball
This network shows the impact of papers produced by Frank Ball. 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 Frank Ball. The network helps show where Frank Ball may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Ball, 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 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 406 | |
| 2 | 1997 | 369 | |
| 3 | 1995 | 141 | |
| 4 | 1986 | 136 | |
| 5 | 2014 | 119 | |
| 6 | 1983 | 112 | |
| 7 | 1988 | 106 | |
| 8 | 2008 | 101 | |
| 9 | 1983 | 100 | |
| 10 | 1989 | 100 | |
| 11 | 2009 | 99 | |
| 12 | 1992 | 95 | |
| 13 | 1999 | 78 | |
| 14 | 1988 | 74 | |
| 15 | 2014 | 72 | |
| 16 | 1993 | 70 | |
| 17 | 1989 | 70 | |
| 18 | 2002 | 68 | |
| 19 | 1993 | 60 | |
| 20 | 2011 | 56 |
About Frank Ball
Frank Ball is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Molecular Biology, Statistical and Nonlinear Physics and Mathematical Physics, having authored 170 papers that have together received 4.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (76 papers), Mathematical and Theoretical Epidemiology and Ecology Models (61 papers), Stochastic processes and statistical mechanics (32 papers), Complex Network Analysis Techniques (32 papers), Ion channel regulation and function (25 papers), Evolution and Genetic Dynamics (19 papers), Mass Spectrometry Techniques and Applications (18 papers) and Opinion Dynamics and Social Influence (12 papers). The work is most often cited by research in Modeling and Simulation (1.9k citations), Statistical and Nonlinear Physics (888 citations), Mathematical Physics (506 citations), Public Health, Environmental and Occupational Health (1.3k citations) and Statistics and Probability (346 citations). Frank Ball has collaborated with scholars based in United Kingdom, Australia and Sweden. Frequent co-authors include Pieter Trapman, Tom Britton, Mark S.P. Sansom, Denis Mollison, Gianpaolo Scalia‐Tomba, David Sirl, Peter Donnelly, Damian Clancy, Philip D. O’Neill and Peter Neal. Their work appears in journals such as Advances in Applied Probability, Journal of Applied Probability, Mathematical Biosciences, Journal of Mathematical Biology and Biophysical Journal.
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.