Ellen Brooks‐Pollock
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 38
-
- Animal Disease Management and Epidemiology 16
- Co-authors
- León DanonMatt J. KeelingRobert ChallenJonathan M. ReadKrasimira Tsaneva‐AtanasovaLouise DysonKen EamesGareth O. Roberts
- Journals
- Philosophical Transactions of the Royal Society B Biological Sciences (8 papers)PLoS Computational Biology (5 papers)Epidemics (4 papers)PLoS ONE (4 papers)Proceedings of the Royal Society B Biological Sciences (3 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Ellen Brooks‐Pollock
60 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Modeling and Simulation 630
- Infectious Diseases 1.1k
- Agronomy and Crop Science 374
- Microbiology 148
- Epidemiology 758
Countries citing papers authored by Ellen Brooks‐Pollock
This map shows the geographic impact of Ellen Brooks‐Pollock'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 Ellen Brooks‐Pollock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Brooks‐Pollock more than expected).
Fields of papers citing papers by Ellen Brooks‐Pollock
This network shows the impact of papers produced by Ellen Brooks‐Pollock. 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 Ellen Brooks‐Pollock. The network helps show where Ellen Brooks‐Pollock may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ellen Brooks‐Pollock, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 25 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 49 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 40 | |
| 15 | 2020 | 9 | |
| 16 | Epidemic predictions in an imperfect world | 2015 | 127 |
| 17 | 2015 | 27 | |
| 18 | 2014 | 60 | |
| 19 | 2012 | 107 | |
| 20 | 2011 | 46 |
About Ellen Brooks‐Pollock
Ellen Brooks‐Pollock is a scholar working on Modeling and Simulation, Agronomy and Crop Science, Infectious Diseases, Epidemiology and Microbiology, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (38 papers), Animal Disease Management and Epidemiology (16 papers), Influenza Virus Research Studies (11 papers), Tuberculosis Research and Epidemiology (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Pandemic Impacts (7 papers), Viral Infections and Outbreaks Research (6 papers) and Mycobacterium research and diagnosis (6 papers). The work is most often cited by research in Modeling and Simulation (630 citations), Infectious Diseases (1.1k citations), Agronomy and Crop Science (374 citations), Microbiology (148 citations) and Epidemiology (758 citations). Ellen Brooks‐Pollock has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include León Danon, Matt J. Keeling, Robert Challen, Jonathan M. Read, Krasimira Tsaneva‐Atanasova, Louise Dyson, Ken Eames, Gareth O. Roberts, Natasha L. Tilston‐Lunel and W. John Edmunds. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, PLoS Computational Biology, Epidemics, PLoS ONE and Proceedings of the Royal Society B Biological Sciences.
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.