Matthew J. Ferrari

105 papers and 3.4k indexed citations i.

About

Matthew J. Ferrari is a scholar working on Modeling and Simulation, Epidemiology and Health. According to data from OpenAlex, Matthew J. Ferrari has authored 105 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Modeling and Simulation, 47 papers in Epidemiology and 29 papers in Health. Recurrent topics in Matthew J. Ferrari’s work include COVID-19 epidemiological studies (55 papers), Virology and Viral Diseases (35 papers) and Vaccine Coverage and Hesitancy (29 papers). Matthew J. Ferrari is often cited by papers focused on COVID-19 epidemiological studies (55 papers), Virology and Viral Diseases (35 papers) and Vaccine Coverage and Hesitancy (29 papers). Matthew J. Ferrari collaborates with scholars based in United States, United Kingdom and Switzerland. Matthew J. Ferrari's co-authors include Bryan T. Grenfell, Ottar N. Bjørnstad, Nita Bharti, Andrew J. Tatem, Rebecca F. Grais, C. Jessica E. Metcalf, Katriona Shea, Ali Djibo, Justin Lessler and Saki Takahashi and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Matthew J. Ferrari i

Fields of papers citing papers by Matthew J. Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew J. Ferrari

Since Specialization
Citations

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