Oliver J. Watson
- Infectious Diseases top 2%
- Modeling and Simulation top 0.5%
- Health top 1%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Co-authors
- Azra C. GhaniPeter WinskillAlexandra B. HoganGregory BarnsleyJaspreet ToorRobert VerityHannah SlaterNeil M. Ferguson
- Topics
- COVID-19 epidemiological studies (19 papers)Malaria Research and Control (16 papers)Mosquito-borne diseases and control (13 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Oliver J. Watson
45 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Infectious Diseases 836
- Modeling and Simulation 524
- Health 457
- Public Health, Environmental and Occupational Health 405
- Molecular Biology 197
Countries citing papers authored by Oliver J. Watson
This map shows the geographic impact of Oliver J. Watson'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 Oliver J. Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver J. Watson more than expected).
Fields of papers citing papers by Oliver J. Watson
This network shows the impact of papers produced by Oliver J. Watson. 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 Oliver J. Watson. The network helps show where Oliver J. Watson may publish in the future.
Co-authorship network of co-authors of Oliver J. Watson
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver J. Watson. A scholar is included among the top collaborators of Oliver J. Watson 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 Oliver J. Watson. Oliver J. Watson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 21 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | Global impact of the first year of COVID-19 vaccination: a mathematical modelling studybreakdown → | 882 |
| 12 | 42 | |
| 13 | 3 | |
| 14 | 84 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 72 | |
| 18 | 33 | |
| 19 | 6 | |
| 20 | 21 |
About Oliver J. Watson
Oliver J. Watson is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (19 papers), Malaria Research and Control (16 papers) and Mosquito-borne diseases and control (13 papers). The work is most often cited by research in Modeling and Simulation (524 citations), Health (457 citations) and Infectious Diseases (836 citations). Oliver J. Watson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Azra C. Ghani, Peter Winskill, Alexandra B. Hogan, Gregory Barnsley, Jaspreet Toor, Robert Verity, Hannah Slater, Neil M. Ferguson, Patrick Walker and Steven R. Meshnick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.
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.