Sally Harcourt
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 3
- Epidemiology top 10%
- Data-Driven Disease Surveillance 11
- Influenza Virus Research Studies 10
- Respiratory viral infections research 6
- Pneumonia and Respiratory Infections 3
- Health top 10%
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- Climate Change and Health Impacts 5
- Air Quality and Health Impacts 3
- Emergency Medicine top 10%
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- Travel-related health issues 3
- Co-authors
- Gillian SmithAlex J. ElliotRoger MorbeyJulia Hippisley–CoxRichard PebodyPaul LoveridgeSue IbbotsonSue Smith
- Partner nations
- United KingdomSwedenNigeria
In The Last Decade
Sally Harcourt
28 papers receiving 546 citations
Peers
Comparison fields: 5 of 78
- Modeling and Simulation 106
- Epidemiology 334
- Health 75
- Health, Toxicology and Mutagenesis 83
- Emergency Medicine 52
Countries citing papers authored by Sally Harcourt
This map shows the geographic impact of Sally Harcourt'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 Sally Harcourt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sally Harcourt more than expected).
Fields of papers citing papers by Sally Harcourt
This network shows the impact of papers produced by Sally Harcourt. 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 Sally Harcourt. The network helps show where Sally Harcourt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sally Harcourt, 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 | 2024 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 48 | |
| 6 | 2019 | 10 | |
| 7 | 2017 | 14 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 26 | |
| 10 | 2016 | 15 | |
| 11 | 2016 | 24 | |
| 12 | 2014 | 39 | |
| 13 | 2013 | 34 | |
| 14 | 2012 | 30 | |
| 15 | 2011 | 37 | |
| 16 | 2007 | 57 | |
| 17 | 2006 | 18 | |
| 18 | 2004 | 17 | |
| 19 | 2004 | 3 | |
| 20 | Influenza and adult hospital admissions for respiratory conditions in England 1989-2001. | 2003 | 25 |
About Sally Harcourt
Sally Harcourt is a scholar working on Modeling and Simulation, Epidemiology and Microbiology, having authored 28 papers that have together received 562 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (11 papers), Influenza Virus Research Studies (10 papers), Respiratory viral infections research (6 papers), Climate Change and Health Impacts (5 papers), Air Quality and Health Impacts (3 papers), COVID-19 epidemiological studies (3 papers), Travel-related health issues (3 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Modeling and Simulation (106 citations), Epidemiology (334 citations) and Health (75 citations). Sally Harcourt has collaborated with scholars based in United Kingdom, Sweden and Nigeria. Frequent co-authors include Gillian Smith, Alex J. Elliot, Roger Morbey, Julia Hippisley–Cox, Richard Pebody, Paul Loveridge, Sue Ibbotson, Sue Smith, Helen E. Hughes and Brian McCloskey. Their work appears in journals such as Epidemiology and Infection, Journal of Public Health, Vaccine, BMC Public Health and International Journal of Environmental Research and Public Health.
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.