Sam E. Moore
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- COVID-19 epidemiological studies 4
- Health 3
- Vaccine Coverage and Hesitancy 3
- Co-authors
- Matt J. Keeling (6 shared papers)Edward M. Hill (5 shared papers)Michael J. Tildesley (4 shared papers)Louise Dyson (4 shared papers)Tim Rogers (1 shared paper)Thomas House (1 shared paper)Lorenzo Pellis (1 shared paper)Jacob Liam Curran-Sebastian (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Nature Communications (1 paper)The Lancet Infectious Diseases (1 paper)Global Health Action (1 paper)Nature Medicine (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Sam E. Moore
7 papers receiving 734 citations
Sam E. Moore's Hit Papers
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 452
- Health 182
- Infectious Diseases 379
- Public Health, Environmental and Occupational Health 101
- Economics and Econometrics 91
Countries citing papers authored by Sam E. Moore
This map shows the geographic impact of Sam E. Moore'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 Sam E. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam E. Moore more than expected).
Fields of papers citing papers by Sam E. Moore
This network shows the impact of papers produced by Sam E. Moore. 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 Sam E. Moore. The network helps show where Sam E. Moore may publish in the future.
Co-authors
The 12 scholars most cited alongside Sam E. Moore, 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 | Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study Hit paper breakdown → | 2021 | 414 |
| 2 | 2021 | 134 | |
| 3 | 2021 | 79 | |
| 4 | 2022 | 74 | |
| 5 | 2020 | 32 | |
| 6 | 2022 | 10 | |
| 7 | 2024 | 5 | |
| 8 | 2025 | 0 |
About Sam E. Moore
Sam E. Moore is a scholar working on Modeling and Simulation, Health, Infectious Diseases, Statistical and Nonlinear Physics and Experimental and Cognitive Psychology, having authored 8 papers that have together received 748 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (3 papers), Mental Health Research Topics (1 paper), Complex Network Analysis Techniques (1 paper), Evolution and Genetic Dynamics (1 paper), Opinion Dynamics and Social Influence (1 paper) and COVID-19 Pandemic Impacts (1 paper). The work is most often cited by research in Modeling and Simulation (452 citations), Health (182 citations), Infectious Diseases (379 citations), Public Health, Environmental and Occupational Health (101 citations) and Economics and Econometrics (91 citations). Sam E. Moore has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Matt J. Keeling, Edward M. Hill, Michael J. Tildesley, Louise Dyson, Tim Rogers, Thomas House, Lorenzo Pellis, Jacob Liam Curran-Sebastian, Katrina Lythgoe and Robin N. Thompson. Their work appears in journals such as PLoS Computational Biology, Nature Communications, The Lancet Infectious Diseases, Global Health Action and Nature Medicine.
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.