Matt Ferrari
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 5
- Health top 2%
- Vaccine Coverage and Hesitancy 6
- Epidemiology top 10%
- Virology and Viral Diseases 9
- Influenza Virus Research Studies 1
- Infectious Diseases top 10%
- Viral Infections and Vectors 1
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- Immune responses and vaccinations 4
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- Hermeneutics and Narrative Identity 1
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- Genomics and Phylogenetic Studies 1
- Co-authors
- Marta Gacic-DoboClaudia SteuletPaul A. RotaBryan T. GrenfellMick N. MuldersAnindya Sekhar BoseBrian LambertSébastien Antoni
- Journals
- American Journal of Epidemiology (1 paper)The Journal of Infectious Diseases (1 paper)MMWR Morbidity and Mortality Weekly Report (4 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Matt Ferrari
10 papers receiving 471 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Modeling and Simulation 145
- Health 250
- Epidemiology 361
- Infectious Diseases 144
- Immunology 135
Countries citing papers authored by Matt Ferrari
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).
Fields of papers citing papers by Matt Ferrari
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.
Co-authorship network
The 25 scholars most cited alongside Matt Ferrari, 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 | 2024 | 30 | |
| 2 | Progress Toward Measles Elimination — Worldwide, 2000–2022breakdown → | 2023 | 127 |
| 3 | 2022 | 60 | |
| 4 | 2021 | 89 | |
| 5 | 2018 | 15 | |
| 6 | 2018 | 60 | |
| 7 | 2010 | 34 | |
| 8 | 2010 | 36 | |
| 9 | Emergency vaccination responses during large measles outbreaks: Early intervention leads to a high proportion of averted cases | 2006 | 2 |
| 10 | 2006 | 45 |
About Matt Ferrari
Matt Ferrari is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 10 papers that have together received 498 indexed citations. Recurring topics across this work include Virology and Viral Diseases (9 papers), Vaccine Coverage and Hesitancy (6 papers), COVID-19 epidemiological studies (5 papers), Immune responses and vaccinations (4 papers), Influenza Virus Research Studies (1 paper), Hermeneutics and Narrative Identity (1 paper), Viral Infections and Vectors (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Modeling and Simulation (145 citations), Health (250 citations) and Epidemiology (361 citations). Matt Ferrari has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Marta Gacic-Dobo, Claudia Steulet, Paul A. Rota, Bryan T. Grenfell, Mick N. Mulders, Anindya Sekhar Bose, Brian Lambert, Sébastien Antoni, Allison Portnoy and Cynthia Hatcher. Their work appears in journals such as American Journal of Epidemiology, The Journal of Infectious Diseases and MMWR Morbidity and Mortality Weekly Report.
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.