Sam Moore

8 papers and 655 indexed citations i.

About

Sam Moore is a scholar working on Modeling and Simulation, Infectious Diseases and Health. According to data from OpenAlex, Sam Moore has authored 8 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Modeling and Simulation, 6 papers in Infectious Diseases and 5 papers in Health. Recurrent topics in Sam Moore’s work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and Vaccine Coverage and Hesitancy (5 papers). Sam Moore is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and Vaccine Coverage and Hesitancy (5 papers). Sam Moore collaborates with scholars based in United Kingdom and United States. Sam Moore's co-authors include Matt J. Keeling, Edward M. Hill, Louise Dyson, Michael J. Tildesley, Tim Rogers, Jacob Curran-Sebastian, Katrina Lythgoe, Lorenzo Pellis, Thomas House and Robin N. Thompson and has published in prestigious journals such as Physical Review Letters, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Sam Moore i

Fields of papers citing papers by Sam Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam 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 Moore. The network helps show where Sam Moore may publish in the future.

Countries citing papers authored by Sam Moore

Since Specialization
Citations

This map shows the geographic impact of Sam 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 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 Moore more than expected).

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.

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2025