Edouard Mathieu
Impact in
- Modeling and Simulation top 0.5%
- 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
- COVID-19 Clinical Research Studies 1
- Co-authors
- Esteban Ortiz-Ospina (5 shared papers)Hannah Ritchie (5 shared papers)Joe Hasell (5 shared papers)Charlie Giattino (5 shared papers)Max Roser (5 shared papers)Cameron Appel (3 shared papers)Diana Beltekian (2 shared papers)Bobbie Macdonald (2 shared papers)
- Journals
- Nature Human Behaviour (2 papers)PLoS ONE (1 paper)Eurosurveillance (1 paper)Nature (1 paper)Scientific Data (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Edouard Mathieu
9 papers receiving 1.7k citations
Edouard Mathieu's Hit Papers
Peers
Comparison fields: 5 of 141
- Modeling and Simulation 585
- Health 465
- Infectious Diseases 628
- Economics and Econometrics 262
- General Dentistry 12
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 | 1203 |
| 2 | 2020 | 379 | |
| 3 | Coronavirus Pandemic (COVID-19) | 2020 | 119 |
| 4 | 2021 | 23 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 8 | |
| 7 | 2022 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 1978 | 2 | |
| 11 | 1985 | 1 | |
| 12 | 1986 | 0 |
About Edouard Mathieu
Edouard Mathieu is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Health and Sociology and Political Science, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (1 paper), Vaccine Coverage and Hesitancy (1 paper), Global Public Health Policies and Epidemiology (1 paper), COVID-19 diagnosis using AI (1 paper) and Healthcare Systems and Reforms (1 paper). The work is most often cited by research in Modeling and Simulation (585 citations), Health (465 citations), Infectious Diseases (628 citations), Economics and Econometrics (262 citations) and General Dentistry (12 citations). Edouard Mathieu has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Esteban Ortiz-Ospina, Hannah Ritchie, Joe Hasell, Charlie Giattino, Max Roser, Cameron Appel, Diana Beltekian, Bobbie Macdonald, Caroline Jackson and Richard Hobbs. Their work appears in journals such as Nature Human Behaviour, PLoS ONE, Eurosurveillance, Nature and Scientific Data.
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.