Patrick Doohan
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
Papers in
-
- COVID-19 epidemiological studies 7
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Outbreaks Research 4
- COVID-19 Clinical Research Studies 2
- Viral Infections and Vectors 2
- Co-authors
- Yongyun Hwang (4 shared papers)Ashley P. Willis (3 shared papers)Neil M. Ferguson (6 shared papers)Alexandra B. Hogan (5 shared papers)Azra C. Ghani (5 shared papers)Katharina Hauck (6 shared papers)Peter Winskill (4 shared papers)David Haw (4 shared papers)
- Journals
- Journal of Fluid Mechanics (4 papers)The Lancet Infectious Diseases (2 papers)Epidemics (2 papers)Nature Communications (2 papers)Nature Computational Science (1 paper)
- Partner nations
- United KingdomAustraliaSweden
In The Last Decade
Patrick Doohan
17 papers receiving 234 citations
Peers
Comparison fields: 5 of 55
- Modeling and Simulation 52
- Infectious Diseases 84
- Computational Mechanics 61
- Emergency Medical Services 10
- Environmental Engineering 22
Countries citing papers authored by Patrick Doohan
This map shows the geographic impact of Patrick Doohan'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 Patrick Doohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Doohan more than expected).
Fields of papers citing papers by Patrick Doohan
This network shows the impact of papers produced by Patrick Doohan. 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 Patrick Doohan. The network helps show where Patrick Doohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Doohan, 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 | 2023 | 30 | |
| 2 | 2022 | 27 | |
| 3 | 2021 | 24 | |
| 4 | 2024 | 23 | |
| 5 | 2023 | 22 | |
| 6 | 2019 | 22 | |
| 7 | 2023 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2024 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2026 | 0 |
About Patrick Doohan
Patrick Doohan is a scholar working on Modeling and Simulation, Infectious Diseases, Computational Mechanics, Global and Planetary Change and Ocean Engineering, having authored 19 papers that have together received 236 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infections and Outbreaks Research (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Plant Water Relations and Carbon Dynamics (3 papers), COVID-19 Clinical Research Studies (2 papers), Viral Infections and Vectors (2 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (52 citations), Infectious Diseases (84 citations), Computational Mechanics (61 citations), Emergency Medical Services (10 citations) and Environmental Engineering (22 citations). Patrick Doohan has collaborated with scholars based in United Kingdom, Australia and Sweden. Frequent co-authors include Yongyun Hwang, Ashley P. Willis, Neil M. Ferguson, Alexandra B. Hogan, Azra C. Ghani, Katharina Hauck, Peter Winskill, David Haw, PETER C. SMITH and Daniela Olivera Mesa. Their work appears in journals such as Journal of Fluid Mechanics, The Lancet Infectious Diseases, Epidemics, Nature Communications and Nature Computational Science.
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.