Thomas Rawson
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Outbreaks Research 2
-
- COVID-19 epidemiological studies 7
- Co-authors
- Michael B. Bonsall (7 shared papers)Chris Huntingford (2 shared papers)Tom Brewer (1 shared paper)Marian Stamp Dawkins (3 shared papers)Neil M. Ferguson (6 shared papers)Edward Knock (3 shared papers)Richard G. FitzJohn (3 shared papers)Ólafur Inǵólfsson (1 shared paper)
- Journals
- Frontiers in Public Health (3 papers)Nature Communications (2 papers)Frontiers in Microbiology (2 papers)The Lancet Global Health (1 paper)The Lancet Public Health (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Thomas Rawson
17 papers receiving 155 citations
Peers
Comparison fields: 5 of 56
- Modeling and Simulation 62
- Infectious Diseases 52
- Health 15
- Food Science 26
- Animal Science and Zoology 14
Countries citing papers authored by Thomas Rawson
This map shows the geographic impact of Thomas Rawson'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 Thomas Rawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Rawson more than expected).
Fields of papers citing papers by Thomas Rawson
This network shows the impact of papers produced by Thomas Rawson. 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 Thomas Rawson. The network helps show where Thomas Rawson may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Rawson, 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 | 2020 | 47 | |
| 2 | 2023 | 19 | |
| 3 | 2019 | 15 | |
| 4 | 2024 | 15 | |
| 5 | 2023 | 14 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2026 | 0 | |
| 20 | 2026 | 0 |
About Thomas Rawson
Thomas Rawson is a scholar working on Infectious Diseases, Modeling and Simulation, Food Science, Animal Science and Zoology and Health, having authored 20 papers that have together received 157 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Livestock and Poultry Management (4 papers), Animal Nutrition and Physiology (4 papers), Animal Disease Management and Epidemiology (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Modeling and Simulation (62 citations), Infectious Diseases (52 citations), Health (15 citations), Food Science (26 citations) and Animal Science and Zoology (14 citations). Thomas Rawson has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Michael B. Bonsall, Chris Huntingford, Tom Brewer, Marian Stamp Dawkins, Neil M. Ferguson, Edward Knock, Richard G. FitzJohn, Ólafur Inǵólfsson, Wes Hinsley and Raphael Sonabend. Their work appears in journals such as Frontiers in Public Health, Nature Communications, Frontiers in Microbiology, The Lancet Global Health and The Lancet Public Health.
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.