Glen Guyver‐Fletcher

457 total citations
7 papers, 141 citations indexed

About

Glen Guyver‐Fletcher is a scholar working on Modeling and Simulation, Economics and Econometrics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Glen Guyver‐Fletcher has authored 7 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Modeling and Simulation, 3 papers in Economics and Econometrics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Glen Guyver‐Fletcher's work include COVID-19 epidemiological studies (4 papers), COVID-19 Pandemic Impacts (3 papers) and Viral Infections and Immunology Research (2 papers). Glen Guyver‐Fletcher is often cited by papers focused on COVID-19 epidemiological studies (4 papers), COVID-19 Pandemic Impacts (3 papers) and Viral Infections and Immunology Research (2 papers). Glen Guyver‐Fletcher collaborates with scholars based in United Kingdom and United States. Glen Guyver‐Fletcher's co-authors include Michael J. Tildesley, Edward M. Hill, Louise Dyson, Matt J. Keeling, Alex Holmes, Erin E. Gorsich, Bridget S. Penman, Trystan Leng, Massimiliano Tamborrino and Malcolm G. Semple and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, PLoS Computational Biology and Statistical Methods in Medical Research.

In The Last Decade

Glen Guyver‐Fletcher

6 papers receiving 140 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Glen Guyver‐Fletcher United Kingdom 4 117 59 32 28 23 7 141
Alex Holmes United Kingdom 6 134 1.1× 80 1.4× 32 1.0× 43 1.5× 33 1.4× 9 179
Trystan Leng United Kingdom 6 97 0.8× 70 1.2× 23 0.7× 35 1.3× 21 0.9× 9 152
James D Munday United Kingdom 7 110 0.9× 42 0.7× 23 0.7× 61 2.2× 32 1.4× 17 216
Andrew Oplinger United States 2 96 0.8× 34 0.6× 45 1.4× 29 1.0× 21 0.9× 3 150
Aaron Schneider United States 2 100 0.9× 34 0.6× 47 1.5× 31 1.1× 17 0.7× 3 142
Emma S. Garlock Canada 2 137 1.2× 116 2.0× 27 0.8× 32 1.1× 25 1.1× 4 198
Daniel C. P. Jorge Brazil 6 105 0.9× 49 0.8× 43 1.3× 19 0.7× 11 0.5× 9 142
Rosanna C. Barnard United Kingdom 6 113 1.0× 84 1.4× 23 0.7× 23 0.8× 14 0.6× 7 167
Wodaje Gietaneh Ethiopia 5 80 0.7× 83 1.4× 26 0.8× 48 1.7× 19 0.8× 10 172
Takeaki Imamura Japan 5 125 1.1× 100 1.7× 25 0.8× 35 1.3× 55 2.4× 14 217

Countries citing papers authored by Glen Guyver‐Fletcher

Since Specialization
Citations

This map shows the geographic impact of Glen Guyver‐Fletcher'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 Glen Guyver‐Fletcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen Guyver‐Fletcher more than expected).

Fields of papers citing papers by Glen Guyver‐Fletcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen Guyver‐Fletcher. 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 Glen Guyver‐Fletcher. The network helps show where Glen Guyver‐Fletcher may publish in the future.

Co-authorship network of co-authors of Glen Guyver‐Fletcher

This figure shows the co-authorship network connecting the top 25 collaborators of Glen Guyver‐Fletcher. A scholar is included among the top collaborators of Glen Guyver‐Fletcher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Glen Guyver‐Fletcher. Glen Guyver‐Fletcher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Guyver‐Fletcher, Glen, Erin E. Gorsich, Chris Jewell, & Michael J. Tildesley. (2025). Controlling endemic foot-and-mouth disease: Vaccination is more important than movement bans. A simulation study in the Republic of Turkey. Infectious Disease Modelling. 10(2). 702–715.
2.
Keeling, Matt J., Louise Dyson, Glen Guyver‐Fletcher, et al.. (2022). Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number. Statistical Methods in Medical Research. 31(9). 1716–1737. 21 indexed citations
3.
Guyver‐Fletcher, Glen, Erin E. Gorsich, & Michael J. Tildesley. (2021). A model exploration of carrier and movement transmission as potential explanatory causes for the persistence of foot‐and‐mouth disease in endemic regions. Transboundary and Emerging Diseases. 69(5). 2712–2726. 3 indexed citations
4.
Keeling, Matt J., Glen Guyver‐Fletcher, Louise Dyson, et al.. (2021). Precautionary breaks: Planned, limited duration circuit breaks to control the prevalence of SARS-CoV2 and the burden of COVID-19 disease. Epidemics. 37. 100526–100526. 8 indexed citations
5.
Keeling, Matt J., Edward M. Hill, Erin E. Gorsich, et al.. (2021). Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies. PLoS Computational Biology. 17(1). e1008619–e1008619. 70 indexed citations
6.
Keeling, Matt J., Michael J. Tildesley, Bridget S. Penman, et al.. (2021). The impact of school reopening on the spread of COVID-19 in England. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200261–20200261. 38 indexed citations
7.
Keeling, Matt J., Glen Guyver‐Fletcher, Alex Holmes, et al.. (2020). Precautionary Breaks: Planned, Limited Duration Circuit Breaks to Control the Prevalence of COVID-19. SSRN Electronic Journal. 1 indexed citations

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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2026