Edward Knock

9.0k total citations
18 papers, 219 citations indexed

About

Edward Knock is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Edward Knock has authored 18 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Modeling and Simulation, 7 papers in Infectious Diseases and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Edward Knock's work include COVID-19 epidemiological studies (14 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Vaccine Coverage and Hesitancy (5 papers). Edward Knock is often cited by papers focused on COVID-19 epidemiological studies (14 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Vaccine Coverage and Hesitancy (5 papers). Edward Knock collaborates with scholars based in United Kingdom, United States and Democratic Republic of the Congo. Edward Knock's co-authors include Philip D. O’Neill, Frank Ball, Neil M. Ferguson, Marc Baguelin, Lilith K. Whittles, Oliver J. Watson, Katy A. M. Gaythorpe, Azra C. Ghani, Nicholas F. Brazeau and Katharina Hauck and has published in prestigious journals such as Nature Communications, International Journal of Epidemiology and PLoS Computational Biology.

In The Last Decade

Edward Knock

17 papers receiving 214 citations

Peers

Edward Knock

MS

ID

HEALT

EPIDE

PHEOH

Timothy Kinyanjui United Kingdom

Deepit Bhatia Canada

Antonio S. Lima Neto Brazil

Thomas Mollet Sweden

Qianlai Sun China

Juliane F. Oliveira Brazil

Julia Eaton United States

Moses C. Kiti United Kingdom

Alan Schnur Australia

Brittany Hagedorn United States

Timothy Kinyanjui United Kingdom

Edward Knock

91 ×0.6

MS

70 ×0.6

ID

18 ×0.3

HEALT

158 ×2.9

EPIDE

24 ×0.4

PHEOH

Citations per year, relative to Edward Knock Edward Knock (= 1×) peers Timothy Kinyanjui

Countries citing papers authored by Edward Knock

Since Specialization

Citations

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

Fields of papers citing papers by Edward Knock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Knock. 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 Edward Knock. The network helps show where Edward Knock may publish in the future.

Co-authorship network of co-authors of Edward Knock

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Knock. A scholar is included among the top collaborators of Edward Knock 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 Edward Knock. Edward Knock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

1.

Morgenstern, Christian, Edward Knock, Joseph T. Hicks, et al.. (2025). A mathematical model of H5N1 influenza transmission in US dairy cattle. Nature Communications. 16(1). 4308–4308. 1 indexed citations

2.

Vesga, Juan F, et al.. (2025). The transmission dynamics of Norovirus in England: A genotype-specific modelling study. Epidemics. 53. 100875–100875.

3.

Perez‐Guzman, Pablo N., Ab Schaap, Kwame Shanaube, et al.. (2024). Pandemic burden in low-income settings and impact of limited and delayed interventions: A granular modelling analysis of COVID-19 in Kabwe, Zambia. International Journal of Infectious Diseases. 147. 107182–107182. 1 indexed citations

4.

Perez‐Guzman, Pablo N., Edward Knock, Natsuko Imai, et al.. (2023). Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England. Nature Communications. 14(1). 4279–4279. 18 indexed citations

5.

Imai, Natsuko, Edward Knock, Raphael Sonabend, et al.. (2023). Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study. The Lancet Public Health. 8(3). e174–e183. 14 indexed citations

6.

Chapman, Lloyd A. C., Maïté Aubry, Timothy Russell, et al.. (2023). Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia. Nature Communications. 14(1). 7330–7330. 1 indexed citations

7.

Gaythorpe, Katy A. M., Wes Hinsley, Natsuko Imai, et al.. (2023). Data pipelines in a public health emergency: The human in the machine. Epidemics. 43. 100676–100676. 1 indexed citations

8.

McCabe, Ruth, Mara D. Kont, Nora Schmit, et al.. (2021). Modelling ICU capacity under different epidemiological scenarios of the COVID-19 pandemic in three western European countries. International Journal of Epidemiology. 1 indexed citations

9.

Hogan, Alexandra B., Peter Winskill, Oliver J. Watson, et al.. (2021). Within-country age-based prioritisation, global allocation, and public health impact of a vaccine against SARS-CoV-2: A mathematical modelling analysis. Vaccine. 39(22). 2995–3006. 72 indexed citations

10.

Imai, Natsuko, Alexandra B. Hogan, Anne Cori, et al.. (2021). Interpreting estimates of coronavirus disease 2019 (COVID-19) vaccine efficacy and effectiveness to inform simulation studies of vaccine impact: a systematic review. 6. 185–185. 10 indexed citations

11.

Crump, R. E., Edward Knock, Simon E. F. Spencer, et al.. (2021). Quantifying epidemiological drivers of gambiense human African Trypanosomiasis across the Democratic Republic of Congo. PLoS Computational Biology. 17(1). e1008532–e1008532. 16 indexed citations

12.

McCabe, Ruth, Mara D. Kont, Nora Schmit, et al.. (2021). Modelling intensive care unit capacity under different epidemiological scenarios of the COVID-19 pandemic in three Western European countries. International Journal of Epidemiology. 50(3). 753–767. 24 indexed citations

13.

Ndeffo-Mbah, Martial L., Kat S. Rock, Cody Palmer, et al.. (2020). Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC). PLoS neglected tropical diseases. 14(1). e0007976–e0007976. 13 indexed citations

14.

Ball, Frank, Edward Knock, & Philip D. O’Neill. (2015). Stochastic epidemic models featuring contact tracing with delays. Mathematical Biosciences. 266. 23–35. 9 indexed citations

15.

Knock, Edward & Philip D. O’Neill. (2013). Bayesian model choice for epidemic models with two levels of mixing. Biostatistics. 15(1). 46–59. 9 indexed citations

16.

Ball, Frank, Edward Knock, & Philip D. O’Neill. (2011). Threshold behaviour of emerging epidemics featuring contact tracing. Advances in Applied Probability. 43(4). 1048–1065. 9 indexed citations

17.

Ball, Frank, Edward Knock, & Philip D. O’Neill. (2011). Threshold behaviour of emerging epidemics featuring contact tracing. Advances in Applied Probability. 43(4). 1048–1065. 3 indexed citations

18.

Ball, Frank, Edward Knock, & Philip D. O’Neill. (2008). Control of emerging infectious diseases using responsive imperfect vaccination and isolation. Mathematical Biosciences. 216(1). 100–113. 17 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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