Thomas Finnie
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 12
-
- Viral Infections and Outbreaks Research 6
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Sarah Randolph (1 shared paper)Andrew D. M. Dobson (1 shared paper)Ian Hall (6 shared papers)M. O. Hill (1 shared paper)Michael J. Crawley (1 shared paper)Pertti Uotila (1 shared paper)Christopher Preston (1 shared paper)Allen E. Haddrell (1 shared paper)
- Journals
- Epidemiology and Infection (4 papers)PLoS ONE (3 papers)Frontiers in Immunology (2 papers)Journal of The Royal Society Interface (2 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Thomas Finnie
24 papers receiving 443 citations
Peers
Comparison fields: 5 of 93
- Parasitology 76
- Modeling and Simulation 52
- Speech and Hearing 32
- Infectious Diseases 91
- Ecological Modeling 21
Countries citing papers authored by Thomas Finnie
This map shows the geographic impact of Thomas Finnie'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 Finnie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Finnie more than expected).
Fields of papers citing papers by Thomas Finnie
This network shows the impact of papers produced by Thomas Finnie. 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 Finnie. The network helps show where Thomas Finnie may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Finnie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 141 | |
| 2 | 2011 | 88 | |
| 3 | 2007 | 62 | |
| 4 | 2020 | 41 | |
| 5 | 2013 | 29 | |
| 6 | 2020 | 19 | |
| 7 | 2012 | 12 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2015 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Thomas Finnie
Thomas Finnie is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Molecular Biology and Endocrinology, having authored 29 papers that have together received 454 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Viral Infections and Outbreaks Research (6 papers), Influenza Virus Research Studies (5 papers), Vibrio bacteria research studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Data-Driven Disease Surveillance (3 papers), Respiratory viral infections research (3 papers) and Bacillus and Francisella bacterial research (3 papers). The work is most often cited by research in Parasitology (76 citations), Modeling and Simulation (52 citations), Speech and Hearing (32 citations), Infectious Diseases (91 citations) and Ecological Modeling (21 citations). Thomas Finnie has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Sarah Randolph, Andrew D. M. Dobson, Ian Hall, M. O. Hill, Michael J. Crawley, Pertti Uotila, Christopher Preston, Allen E. Haddrell, Nick Gent and Natalie A. Watson. Their work appears in journals such as Epidemiology and Infection, PLoS ONE, Frontiers in Immunology, Journal of The Royal Society Interface and Journal of Theoretical Biology.
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.