David Greenhalgh

3.9k total citations · 1 hit paper
121 papers, 2.9k citations indexed

About

David Greenhalgh is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Epidemiology. According to data from OpenAlex, David Greenhalgh has authored 121 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Public Health, Environmental and Occupational Health, 49 papers in Modeling and Simulation and 46 papers in Epidemiology. Recurrent topics in David Greenhalgh's work include Mathematical and Theoretical Epidemiology and Ecology Models (49 papers), COVID-19 epidemiological studies (47 papers) and Evolution and Genetic Dynamics (18 papers). David Greenhalgh is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (49 papers), COVID-19 epidemiological studies (47 papers) and Evolution and Genetic Dynamics (18 papers). David Greenhalgh collaborates with scholars based in United Kingdom, United States and Brazil. David Greenhalgh's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrics and Statistics in Medicine.

In The Last Decade

David Greenhalgh

114 papers receiving 2.7k citations

Hit Papers

A Stochastic Differential Equation SIS Epidemic Model 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Greenhalgh United Kingdom 29 2.0k 1.6k 1.0k 458 201 121 2.9k
Andrew Roddam United Kingdom 33 1.3k 0.7× 644 0.4× 629 0.6× 415 0.9× 218 1.1× 55 4.2k
Huaiping Zhu Canada 34 3.0k 1.5× 2.0k 1.3× 1.3k 1.3× 236 0.5× 794 4.0× 160 4.3k
Jinǵan Cui China 29 2.4k 1.2× 1.9k 1.2× 1.4k 1.3× 256 0.6× 185 0.9× 108 2.8k
Yijun Lou Hong Kong 27 1.7k 0.9× 2.5k 1.6× 747 0.7× 371 0.8× 1.6k 7.9× 87 4.4k
Daozhou Gao China 24 1.4k 0.7× 2.5k 1.6× 437 0.4× 411 0.9× 1.5k 7.6× 66 3.9k
Niels G. Becker Australia 35 875 0.4× 1.3k 0.8× 270 0.3× 1.2k 2.6× 1.2k 5.8× 142 4.1k
Maia Martcheva United States 31 2.7k 1.4× 2.2k 1.4× 1.4k 1.4× 508 1.1× 617 3.1× 139 3.7k
Patrick W. Nelson United States 22 1.8k 0.9× 799 0.5× 986 1.0× 277 0.6× 315 1.6× 46 3.3k
Khalid Hattaf Morocco 30 1.9k 1.0× 1.6k 1.0× 890 0.9× 255 0.6× 199 1.0× 122 2.5k
Zhien Ma China 35 3.1k 1.6× 2.2k 1.4× 1.9k 1.9× 175 0.4× 211 1.0× 83 3.6k

Countries citing papers authored by David Greenhalgh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Greenhalgh

This figure shows the co-authorship network connecting the top 25 collaborators of David Greenhalgh. A scholar is included among the top collaborators of David Greenhalgh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Greenhalgh. David Greenhalgh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Heard, Jason, Sandra L. Taylor, Soman Sen, et al.. (2024). Burn Injury Severity in Adults: Proposed Definitions Based on the National Burn Research Dataset. Journal of Burn Care & Research. 46(2). 438–449. 2 indexed citations
2.
Greenhalgh, David, et al.. (2023). Combatting Malaysia's Dengue Outbreaks with Auto-Dissemination Mosquito Traps: A Hybrid Stochastic-Deterministic SIR Model. SHILAP Revista de lepidopterología. 6(2). 169–188.
3.
Nazni, W A, Yanfeng Liang, David Greenhalgh, et al.. (2021). Evaluation of a mosquito home system for controlling Aedes aegypti. Parasites & Vectors. 14(1). 413–413. 2 indexed citations
4.
Sheridan, Robert L. & David Greenhalgh. (2014). Special Problems in Burns. Surgical Clinics of North America. 94(4). 781–791. 12 indexed citations
5.
Gray, Alison, et al.. (2012). The SIS epidemic model with Markovian switching. Journal of Mathematical Analysis and Applications. 394(2). 496–516. 123 indexed citations
6.
Parry, Ingrid, et al.. (2012). Harnessing the Transparent Face Orthosis for facial scar management: A comparison of methods. Burns. 39(5). 950–956. 14 indexed citations
7.
Lamb, Karen E., David Greenhalgh, & Chris Robertson. (2010). A simple mathematical model for genetic effects in pneumococcal carriage and transmission. Journal of Computational and Applied Mathematics. 235(7). 1812–1818. 24 indexed citations
8.
Greenhalgh, David & Martin Griffiths. (2009). Dynamic phenomena arising from an extended Core Group model. Mathematical Biosciences. 221(2). 136–149. 5 indexed citations
9.
Greenhalgh, David, et al.. (2007). A stochastic model for internal HIV dynamics. Journal of Mathematical Analysis and Applications. 341(2). 1084–1101. 240 indexed citations
10.
Greenhalgh, David, et al.. (2006). A stochastic model of AIDS and condom use. Journal of Mathematical Analysis and Applications. 325(1). 36–53. 175 indexed citations
11.
Greenhalgh, David & Nikolaos Sfikas. (2002). Mathematical modelling of UK rubella vaccination programs. Journal of Medical Informatics & Technologies. 3. 1 indexed citations
12.
Greenhalgh, David & Felicia M. T. Lewis. (2001). Modelling the spread of AIDS among intravenous drug users including variable infectivity, HIV testing and needle exchange. Journal of Medical Informatics & Technologies. 1 indexed citations
13.
Lewis, Fraser & David Greenhalgh. (1999). HIV Testing as an Effective Control Strategy against the Spread of AIDS among Intravenous Drug Users. Archives of Control Sciences. 9. 69–96. 2 indexed citations
14.
Greenhalgh, David, et al.. (1999). Asymmetry and multiple endemic equilibria in a model for HIV transmission in a heterosexual population. Mathematical and Computer Modelling. 29(3). 43–61. 11 indexed citations
15.
Greenhalgh, David. (1996). Effects of heterogeneity on the spread of HIV/AIDS among intravenous drug users in shooting galleries. Mathematical Biosciences. 136(2). 141–186. 10 indexed citations
16.
Greenhalgh, David & Rabindra Nath Das. (1995). Modeling Epidemics with Variable Contact Rates. Theoretical Population Biology. 47(2). 129–179. 29 indexed citations
17.
Greenhalgh, David. (1992). Some results for an SEIR epidemic model with density dependence in the death rate. Mathematical Medicine and Biology A Journal of the IMA. 9(2). 67–106. 61 indexed citations
18.
Greenhalgh, David. (1990). Vaccination campaigns for common childhood diseases. Mathematical Biosciences. 100(2). 201–240. 30 indexed citations
19.
Greenhalgh, David. (1988). Threshold and Stability Results for an Epidemic Model with an Age-Structured Meeting Rate. Mathematical Medicine and Biology A Journal of the IMA. 5(2). 81–100. 40 indexed citations
20.
Greenhalgh, David. (1987). Analytical Results on the Stability of Age-Structured Recurrent Epidemic Models. Mathematical Medicine and Biology A Journal of the IMA. 4(2). 109–144. 33 indexed citations

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.

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