Marcus Keogh-Brown
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 9
- Economics and Econometrics top 2%
- COVID-19 Pandemic Impacts 7
- HIV/AIDS Impact and Responses 4
- Health top 5%
- Infectious Diseases top 10%
- General Health Professions top 5%
- Global Health Care Issues 5
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- Influenza Virus Research Studies 5
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- Poverty, Education, and Child Welfare 2
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- Agriculture Sustainability and Environmental Impact 2
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- Energy, Environment, and Transportation Policies 2
- Co-authors
- Richard SmithTony BarnettPhilippe BeutelsW. John EdmundsHenning Tarp JensenJ. F. TaitJohn W. EdmundsSimon Wren‐Lewis
- Journals
- Health Technology Assessment (2 papers)PLoS Medicine (2 papers)SSM - Population Health (2 papers)
- Partner nations
- United KingdomDenmarkUnited States
In The Last Decade
Marcus Keogh-Brown
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 146
- Modeling and Simulation 351
- Economics and Econometrics 542
- Health 120
- Infectious Diseases 153
- General Health Professions 198
Countries citing papers authored by Marcus Keogh-Brown
This map shows the geographic impact of Marcus Keogh-Brown'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 Marcus Keogh-Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Keogh-Brown more than expected).
Fields of papers citing papers by Marcus Keogh-Brown
This network shows the impact of papers produced by Marcus Keogh-Brown. 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 Marcus Keogh-Brown. The network helps show where Marcus Keogh-Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcus Keogh-Brown, 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 | 2 | |
| 2 | 2021 | 34 | |
| 3 | 2019 | 9 | |
| 4 | 2019 | 5 | |
| 5 | 2019 | 19 | |
| 6 | 2017 | 9 | |
| 7 | 2015 | 46 | |
| 8 | 2013 | 13 | |
| 9 | 2013 | 12 | |
| 10 | 2013 | 34 | |
| 11 | 2011 | 76 | |
| 12 | 2010 | 80 | |
| 13 | 2009 | 157 | |
| 14 | 2009 | 127 | |
| 15 | 2009 | 125 | |
| 16 | 2008 | 223 | |
| 17 | The macroeconomic costs of a global influenza pandemic | 2008 | 8 |
| 18 | Economic Impact of Influenza: The Macro Perspective | 2007 | 1 |
| 19 | 2007 | 125 | |
| 20 | 2007 | 25 |
About Marcus Keogh-Brown
Marcus Keogh-Brown is a scholar working on Modeling and Simulation, Economics and Econometrics and Health Information Management, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), COVID-19 Pandemic Impacts (7 papers), Influenza Virus Research Studies (5 papers), Global Health Care Issues (5 papers), HIV/AIDS Impact and Responses (4 papers), Poverty, Education, and Child Welfare (2 papers), Agriculture Sustainability and Environmental Impact (2 papers) and Energy, Environment, and Transportation Policies (2 papers). The work is most often cited by research in Modeling and Simulation (351 citations), Economics and Econometrics (542 citations) and Health (120 citations). Marcus Keogh-Brown has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Richard Smith, Tony Barnett, Philippe Beutels, W. John Edmunds, Henning Tarp Jensen, J. F. Tait, John W. Edmunds, Simon Wren‐Lewis, Max Bachmann and Alan D. Dangour. Their work appears in journals such as Health Technology Assessment, PLoS Medicine, SSM - Population Health, Influenza and Other Respiratory Viruses and The Lancet.
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.