Matt Ferrari

9 papers and 404 indexed citations i.

About

Matt Ferrari is a scholar working on Epidemiology, Health and Modeling and Simulation. According to data from OpenAlex, Matt Ferrari has authored 9 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Health and 5 papers in Modeling and Simulation. Recurrent topics in Matt Ferrari’s work include Virology and Viral Diseases (9 papers), Vaccine Coverage and Hesitancy (6 papers) and COVID-19 epidemiological studies (5 papers). Matt Ferrari is often cited by papers focused on Virology and Viral Diseases (9 papers), Vaccine Coverage and Hesitancy (6 papers) and COVID-19 epidemiological studies (5 papers). Matt Ferrari collaborates with scholars based in United States, United Kingdom and Italy. Matt Ferrari's co-authors include Bryan T. Grenfell, Anindya Sekhar Bose, Mick N. Mulders, Brian Lambert, Sébastien Antoni, Claudia Steulet, Paul A. Rota, Marta Gacic-Dobo, Cynthia Hatcher and Allison Portnoy and has published in prestigious journals such as American Journal of Epidemiology, The Journal of Infectious Diseases and MMWR Morbidity and Mortality Weekly Report.

In The Last Decade

Co-authorship network of co-authors of Matt Ferrari i

Fields of papers citing papers by Matt Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matt Ferrari

Since Specialization
Citations

This map shows the geographic impact of Matt Ferrari'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 Matt Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Ferrari 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