Patrick Doohan
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
Papers in
-
- Viral Infections and Outbreaks Research 5
- SARS-CoV-2 and COVID-19 Research 5
-
- COVID-19 epidemiological studies 6
- Co-authors
- Yongyun Hwang (4 shared papers)Ashley P. Willis (3 shared papers)Neil M. Ferguson (7 shared papers)Alexandra B. Hogan (6 shared papers)Azra C. Ghani (6 shared papers)Peter Winskill (5 shared papers)Katharina Hauck (6 shared papers)David Haw (4 shared papers)
- Journals
- Journal of Fluid Mechanics (4 papers)Nature Communications (2 papers)Epidemics (2 papers)The Lancet Global Health (1 paper)Nature Computational Science (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Patrick Doohan
17 papers receiving 179 citations
Peers
Comparison fields: 5 of 52
- Modeling and Simulation 41
- Computational Mechanics 62
- Infectious Diseases 45
- Environmental Engineering 22
- Global and Planetary Change 28
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 | 2022 | 25 | |
| 2 | 2021 | 24 | |
| 3 | 2019 | 22 | |
| 4 | 2023 | 16 | |
| 5 | 2018 | 16 | |
| 6 | 2024 | 15 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2018 | 8 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2026 | 0 | |
| 19 | 2024 | 0 |
About Patrick Doohan
Patrick Doohan is a scholar working on Infectious Diseases, Modeling and Simulation, Computational Mechanics, Global and Planetary Change and Ocean Engineering, having authored 19 papers that have together received 180 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Viral Infections and Outbreaks Research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Fluid Dynamics and Turbulent Flows (4 papers), Plant Water Relations and Carbon Dynamics (3 papers), Fluid Dynamics and Vibration Analysis (2 papers), Particle Dynamics in Fluid Flows (2 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (41 citations), Computational Mechanics (62 citations), Infectious Diseases (45 citations), Environmental Engineering (22 citations) and Global and Planetary Change (28 citations). Patrick Doohan has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Yongyun Hwang, Ashley P. Willis, Neil M. Ferguson, Alexandra B. Hogan, Azra C. Ghani, Peter Winskill, Katharina Hauck, David Haw, Peter Smith and Gregory Barnsley. Their work appears in journals such as Journal of Fluid Mechanics, Nature Communications, Epidemics, The Lancet Global Health 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.