Frank Ball is affiliated with the University of Nottingham in the United Kingdom and conducts research primarily in the fields of Mathematics and Medicine. Their work spans several key subfields, including Modeling and Simulation, Statistical and Nonlinear Physics, Infectious Diseases, Mathematical Physics, and Economics and Econometrics.
The scientist's research covers a range of topics such as COVID-19 epidemiological studies, stochastic processes and statistical mechanics, SARS-CoV-2 and COVID-19 research, complex network analysis techniques, COVID-19 pandemic impacts, mathematical and theoretical epidemiology and ecology models, and opinion dynamics and social influence.
Among recent publications by Frank Ball are:
Frequent co-authors collaborating with Frank Ball include Tom Britton, Pieter Trapman, Peter Neal, David Sirl, and Julia R. Gog.
The most common venues for their research publications are:
Tom Britton;Frank Ball;Pieter Trapman
Frank Ball;Denis Mollison;Gianpaolo Scalia-Tomba
Frank Ball;Peter Donnelly
Frank Ball
Frank Ball
Frank G. Ball;Peter J. Neal
Lorenzo Pellis;Frank Ball;Shweta Bansal;Ken T. D. Eames
Frank Ball;Peter Neal
Frank G. Ball;David J. Sirl;Pieter Trapman
Frank G. Ball;John A. Rice
Frank Ball
F. G. Ball;M. S. P. Sansom
M. S. P. Sansom;F. G. Ball;C. J. Kerry;R. Mcgee
Frank Ball;Tom Britton;Thomas A. House;Valerie Isham
Frank Ball;Damian Clancy
Frank G. Ball;Owen D. Lyne
Frank G. Ball;David J. Sirl;Pieter Trapman
Lorenzo Pellis;Frank Ball;Pieter Trapman
Frank Ball
Frank G. Ball;Owen D. Lyne
If you think any of the details on this page are incorrect, let us know.
Studying Mathematics in the USA opens doors to diverse career opportunities, especially when combined with online educational programs. For professionals seeking to advance in business, exploring the transfer credits for online MBA programs can offer flexible pathways to enhance their credentials without starting from scratch.
Another promising direction is pursuing a masters in data analytics, which leverages mathematical skills to interpret complex datasets and support data-driven decisions in various industries.
For those weighing entry into business studies, identifying MBA programs easy to get into can help accelerate career advancement without the pressure of highly competitive admissions.
Additionally, if convenience and accessibility are priorities, the easiest online MBA program options provide streamlined routes to obtaining valuable qualifications while balancing other commitments.
National University of Singapore
Advanced Institute of Materials Science
Friedrich Schiller University Jena
Hong Kong Polytechnic University
Italian Institute of Technology
Technical University of Denmark
Chinese University of Hong Kong
Energy Research Centre of the Netherlands
Peking University
Stanford University
University of Canterbury
Leipzig University
Nankai University
University of Pittsburgh
University of York
Aston University
