Matthew Feaster
- Infectious Diseases top 10%
- General Health Professions
- Epidemiology
- Biomedical Engineering
- Modeling and Simulation top 10%
- Co-authors
- Ying-Ying GohNiklas KrauseAlexander Viloria WinnettRustem F. IsmagilovAnna E. RomanoReid AkanaHoward CabralFrederick L. Altice
- Topics
- SARS-CoV-2 detection and testing (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)COVID-19 diagnosis using AI (3 papers)
- Partner nations
- United StatesThailand
In The Last Decade
Matthew Feaster
13 papers receiving 208 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 131
- General Health Professions 61
- Epidemiology 45
- Biomedical Engineering 38
- Modeling and Simulation 27
Countries citing papers authored by Matthew Feaster
This map shows the geographic impact of Matthew Feaster'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 Matthew Feaster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Feaster more than expected).
Fields of papers citing papers by Matthew Feaster
This network shows the impact of papers produced by Matthew Feaster. 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 Matthew Feaster. The network helps show where Matthew Feaster may publish in the future.
Co-authorship network of co-authors of Matthew Feaster
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Feaster. A scholar is included among the top collaborators of Matthew Feaster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Feaster. Matthew Feaster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 59 | |
| 11 | 47 | |
| 12 | 9 | |
| 13 | 39 | |
| 14 | 14 |
About Matthew Feaster
Matthew Feaster is a scholar working on Infectious Diseases, Parasitology and Modeling and Simulation, having authored 14 papers that have together received 212 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Infectious Diseases (131 citations), Modeling and Simulation (27 citations) and General Dentistry (5 citations). Matthew Feaster has collaborated with scholars based in United States and Thailand. Frequent co-authors include Ying-Ying Goh, Niklas Krause, Alexander Viloria Winnett, Rustem F. Ismagilov, Anna E. Romano, Reid Akana, Howard Cabral, Frederick L. Altice, Matthew M. Cooper and Amy Pan. Their work appears in journals such as PLoS ONE, American Journal of Public Health and Journal of Clinical Microbiology.
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.