Frank Ball
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies 76
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 32
- Opinion Dynamics and Social Influence 12
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics 32
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- Mathematical and Theoretical Epidemiology and Ecology Models 61
- Statistics and Probability top 1%
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- Ion channel regulation and function 25
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- Evolution and Genetic Dynamics 19
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- Mass Spectrometry Techniques and Applications 18
- Co-authors
- Pieter TrapmanTom BrittonMark S.P. SansomDenis MollisonGianpaolo Scalia‐TombaDavid SirlPeter DonnellyDamian Clancy
- Journals
- Advances in Applied Probability (41 papers)Journal of Applied Probability (36 papers)Mathematical Biosciences (14 papers)
- Partner nations
- United KingdomAustraliaSweden
In The Last Decade
Frank Ball
158 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 155
- Modeling and Simulation 2.0k
- Statistical and Nonlinear Physics 885
- Mathematical Physics 506
- Public Health, Environmental and Occupational Health 1.3k
- Statistics and Probability 350
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 2 | |
| 4 | 2021 | 0 | |
| 5 | 2021 | 25 | |
| 6 | 2019 | 20 | |
| 7 | 2012 | 9 | |
| 8 | 2009 | 0 | |
| 9 | 2008 | 96 | |
| 10 | 2007 | 5 | |
| 11 | 2007 | 22 | |
| 12 | 2007 | 1 | |
| 13 | 2005 | 8 | |
| 14 | 2005 | 2 | |
| 15 | Supporting Guaranteed Services in Packet Switched Networks: A Study of Two Alternative Methods. | 1999 | 1 |
| 16 | 1997 | 0 | |
| 17 | 1995 | 137 | |
| 18 | 1990 | 22 | |
| 19 | 1989 | 8 | |
| 20 | 1986 | 136 |
About Frank Ball
Frank Ball is a scholar working on Modeling and Simulation, Mathematical Physics, Statistical and Nonlinear Physics, Statistics and Probability and Public Health, Environmental and Occupational Health, 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), Complex Network Analysis Techniques (32 papers), Stochastic processes and statistical mechanics (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 (2.0k citations), Statistical and Nonlinear Physics (885 citations), Mathematical Physics (506 citations), Public Health, Environmental and Occupational Health (1.3k citations) and Statistics and Probability (350 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.