David Greenhalgh
Impact in
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
- Mathematical Biology Tumor Growth
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 50
- Mosquito-borne diseases and control 13
- Malaria Research and Control 8
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- COVID-19 epidemiological studies 47
- Co-authors
- Xuerong Mao (10 shared papers)Alison Gray (3 shared papers)Jiafeng Pan (2 shared papers)Lin Hu (1 shared paper)Tina L. Palmieri (23 shared papers)Soman Sen (20 shared papers)Stephen Marshall (3 shared papers)Qamar J. Khan (6 shared papers)
- Journals
- Journal of Burn Care & Research (17 papers)Mathematical Medicine and Biology A Journal of the IMA (10 papers)Mathematical Biosciences (8 papers)Burns (5 papers)Journal of Mathematical Biology (4 papers)
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
David Greenhalgh
114 papers receiving 2.8k citations
David Greenhalgh's Hit Papers
Peers
Comparison fields: 5 of 148
- Modeling and Simulation 1.6k
- Public Health, Environmental and Occupational Health 1.9k
- Genetics 1.0k
- Virology 74
- Mathematical Physics 134
Countries citing papers authored by David Greenhalgh
This map shows the geographic impact of David Greenhalgh'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 David Greenhalgh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Greenhalgh more than expected).
Fields of papers citing papers by David Greenhalgh
This network shows the impact of papers produced by David Greenhalgh. 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 David Greenhalgh. The network helps show where David Greenhalgh may publish in the future.
Co-authors
The 25 scholars most cited alongside David Greenhalgh, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Stochastic Differential Equation SIS Epidemic Model Hit paper breakdown → | 2011 | 586 |
| 2 | 2007 | 243 | |
| 3 | 2006 | 178 | |
| 4 | 2012 | 123 | |
| 5 | 2000 | 93 | |
| 6 | 2014 | 87 | |
| 7 | 1997 | 84 | |
| 8 | 1992 | 61 | |
| 9 | 2012 | 54 | |
| 10 | 2003 | 50 | |
| 11 | 2016 | 50 | |
| 12 | 2013 | 49 | |
| 13 | 2009 | 45 | |
| 14 | 1988 | 45 | |
| 15 | 1988 | 40 | |
| 16 | 2001 | 38 | |
| 17 | 2013 | 34 | |
| 18 | 2014 | 33 | |
| 19 | 1987 | 33 | |
| 20 | 2018 | 33 |
About David Greenhalgh
David Greenhalgh is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Epidemiology, Genetics and Infectious Diseases, having authored 123 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (50 papers), COVID-19 epidemiological studies (47 papers), Evolution and Genetic Dynamics (19 papers), Mosquito-borne diseases and control (13 papers), Burn Injury Management and Outcomes (13 papers), HIV, Drug Use, Sexual Risk (10 papers), Malaria Research and Control (8 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Public Health, Environmental and Occupational Health (1.9k citations), Genetics (1.0k citations), Virology (74 citations) and Mathematical Physics (134 citations). David Greenhalgh has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Xuerong Mao, Alison Gray, Jiafeng Pan, Lin Hu, Tina L. Palmieri, Soman Sen, Stephen Marshall, Qamar J. Khan, Yanfeng Liang and Fraser Lewis. Their work appears in journals such as Journal of Burn Care & Research, Mathematical Medicine and Biology A Journal of the IMA, Mathematical Biosciences, Burns and Journal of Mathematical 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.