Frank Ball

158 papers and 4.0k indexed citations i.

About

Frank Ball is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics. According to data from OpenAlex, Frank Ball has authored 158 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Modeling and Simulation, 60 papers in Public Health, Environmental and Occupational Health and 36 papers in Statistical and Nonlinear Physics. Recurrent topics in Frank Ball’s work include COVID-19 epidemiological studies (73 papers), Mathematical and Theoretical Epidemiology and Ecology Models (60 papers) and Complex Network Analysis Techniques (33 papers). Frank Ball is often cited by papers focused on COVID-19 epidemiological studies (73 papers), Mathematical and Theoretical Epidemiology and Ecology Models (60 papers) and Complex Network Analysis Techniques (33 papers). Frank Ball collaborates with scholars based in United Kingdom, Australia and Sweden. Frank Ball's 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 and has published in prestigious journals such as Science, Biometrics and Biophysical Journal.

In The Last Decade

Co-authorship network of co-authors of Frank Ball i

Fields of papers citing papers by Frank Ball

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Frank Ball

Since Specialization
Citations

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).

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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2025