Caroline E. Walters
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
-
- Fish Ecology and Management Studies
- Ecology and Vegetation Dynamics Studies
Papers in
-
- COVID-19 epidemiological studies 8
-
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Amy Rutherford (1 shared paper)Margaux M. I. Meslé (1 shared paper)Ian Hall (1 shared paper)Kylie E. C. Ainslie (7 shared papers)Christl A. Donnelly (8 shared papers)Jeremy Kendal (2 shared papers)Steven Riley (7 shared papers)H. Juliette T. Unwin (4 shared papers)
- Journals
- Epidemics (2 papers)Scientific Reports (2 papers)Science (2 papers)PLoS Computational Biology (1 paper)Theoretical Population Biology (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Caroline E. Walters
16 papers receiving 2.6k citations
Caroline E. Walters's Hit Papers
Peers
Comparison fields: 5 of 145
- Modeling and Simulation 393
- Nature and Landscape Conservation 766
- Global and Planetary Change 1.2k
- Ecological Modeling 201
- Ecology 904
Countries citing papers authored by Caroline E. Walters
This map shows the geographic impact of Caroline E. Walters'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 Caroline E. Walters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline E. Walters more than expected).
Fields of papers citing papers by Caroline E. Walters
This network shows the impact of papers produced by Caroline E. Walters. 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 Caroline E. Walters. The network helps show where Caroline E. Walters may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline E. Walters, 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 | Adaptive Management of Renewable Resources. Hit paper breakdown → | 1987 | 2362 |
| 2 | Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe Hit paper breakdown → | 2020 | 307 |
| 3 | 2021 | 80 | |
| 4 | 2018 | 70 | |
| 5 | 2021 | 58 | |
| 6 | 2021 | 52 | |
| 7 | 2020 | 26 | |
| 8 | 2012 | 25 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2021 | 1 |
About Caroline E. Walters
Caroline E. Walters is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 16 papers that have together received 3.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Chronic Disease Management Strategies (2 papers), COVID-19 Pandemic Impacts (2 papers), COVID-19 and Mental Health (2 papers) and Alcohol Consumption and Health Effects (1 paper). The work is most often cited by research in Modeling and Simulation (393 citations), Nature and Landscape Conservation (766 citations), Global and Planetary Change (1.2k citations), Ecological Modeling (201 citations) and Ecology (904 citations). Caroline E. Walters has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Amy Rutherford, Margaux M. I. Meslé, Ian Hall, Kylie E. C. Ainslie, Christl A. Donnelly, Jeremy Kendal, Steven Riley, H. Juliette T. Unwin, Katy A. M. Gaythorpe and Haowei Wang. Their work appears in journals such as Epidemics, Scientific Reports, Science, PLoS Computational Biology and Theoretical Population 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.