Edward Knock
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- COVID-19 epidemiological studies 14
-
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Philip D. O’Neill (5 shared papers)Frank Ball (4 shared papers)Neil M. Ferguson (8 shared papers)Marc Baguelin (9 shared papers)Lilith K. Whittles (6 shared papers)Oliver J. Watson (3 shared papers)Azra C. Ghani (4 shared papers)Katy A. M. Gaythorpe (5 shared papers)
- Journals
- Nature Communications (3 papers)Epidemics (2 papers)Advances in Applied Probability (2 papers)Mathematical Biosciences (2 papers)International Journal of Epidemiology (2 papers)
- Partner nations
- United KingdomUnited StatesDemocratic Republic of the Congo
In The Last Decade
Edward Knock
17 papers receiving 214 citations
Peers
Comparison fields: 5 of 47
- Modeling and Simulation 152
- Health 69
- Infectious Diseases 112
- Parasitology 14
- Public Health, Environmental and Occupational Health 54
Countries citing papers authored by Edward Knock
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
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-authors
The 25 scholars most cited alongside Edward Knock, 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 | 2021 | 72 | |
| 2 | 2021 | 24 | |
| 3 | 2023 | 18 | |
| 4 | 2008 | 17 | |
| 5 | 2021 | 16 | |
| 6 | 2023 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 10 | |
| 9 | 2013 | 9 | |
| 10 | 2015 | 9 | |
| 11 | 2011 | 9 | |
| 12 | 2011 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 |
About Edward Knock
Edward Knock is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Health and Epidemiology, having authored 18 papers that have together received 219 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (14 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Vaccine Coverage and Hesitancy (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Complex Network Analysis Techniques (3 papers), Healthcare Operations and Scheduling Optimization (2 papers), Influenza Virus Research Studies (2 papers) and Trypanosoma species research and implications (2 papers). The work is most often cited by research in Modeling and Simulation (152 citations), Health (69 citations), Infectious Diseases (112 citations), Parasitology (14 citations) and Public Health, Environmental and Occupational Health (54 citations). Edward Knock has collaborated with scholars based in United Kingdom, United States and Democratic Republic of the Congo. Frequent co-authors include Philip D. O’Neill, Frank Ball, Neil M. Ferguson, Marc Baguelin, Lilith K. Whittles, Oliver J. Watson, Azra C. Ghani, Katy A. M. Gaythorpe, Charles Whittaker and Robert Verity. Their work appears in journals such as Nature Communications, Epidemics, Advances in Applied Probability, Mathematical Biosciences and International Journal of Epidemiology.
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.