Edouard Mathieu
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Health top 1%
- Vaccine Coverage and Hesitancy
Papers in ⓘ
-
- COVID-19 epidemiological studies 4
-
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Joe Hasell (5 shared papers)Charlie Giattino (5 shared papers)Max Roser (5 shared papers)Esteban Ortiz-Ospina (5 shared papers)Hannah Ritchie (5 shared papers)Cameron Appel (3 shared papers)Bobbie Macdonald (2 shared papers)Diana Beltekian (2 shared papers)
- Journals
- Nature Human Behaviour (2 papers)BMC Health Services Research (1 paper)Scientific Data (1 paper)Eurosurveillance (1 paper)Nature (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Edouard Mathieu
9 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Modeling and Simulation 704
- Health 543
- Infectious Diseases 799
- Economics and Econometrics 294
- General Dentistry 13
Countries citing papers authored by Edouard Mathieu
This map shows the geographic impact of Edouard Mathieu'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 Edouard Mathieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edouard Mathieu more than expected).
Fields of papers citing papers by Edouard Mathieu
This network shows the impact of papers produced by Edouard Mathieu. 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 Edouard Mathieu. The network helps show where Edouard Mathieu may publish in the future.
Co-authors
The 25 scholars most cited alongside Edouard Mathieu, 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 | A global database of COVID-19 vaccinations Hit paper breakdown → | 2021 | 1146 |
| 2 | 2020 | 359 | |
| 3 | Coronavirus Pandemic (COVID-19) | 2020 | 114 |
| 4 | 2021 | 22 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 1985 | 1 |
About Edouard Mathieu
Edouard Mathieu is a scholar working on Modeling and Simulation, Infectious Diseases, General Health Professions, Epidemiology and Organizational Behavior and Human Resource Management, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Data-Driven Disease Surveillance (2 papers), COVID-19 diagnosis using AI (1 paper), Healthcare cost, quality, practices (1 paper), Global Public Health Policies and Epidemiology (1 paper), COVID-19 Digital Contact Tracing (1 paper) and Healthcare Policy and Management (1 paper). The work is most often cited by research in Modeling and Simulation (704 citations), Health (543 citations), Infectious Diseases (799 citations), Economics and Econometrics (294 citations) and General Dentistry (13 citations). Edouard Mathieu has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Joe Hasell, Charlie Giattino, Max Roser, Esteban Ortiz-Ospina, Hannah Ritchie, Cameron Appel, Bobbie Macdonald, Diana Beltekian, Lauren Gardner and Richard Hobbs. Their work appears in journals such as Nature Human Behaviour, BMC Health Services Research, Scientific Data, Eurosurveillance and Nature.
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.