Pascal Crépey
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
- Epidemiology 34
- Influenza Virus Research Studies 24
- Respiratory viral infections research 5
- Pneumonia and Respiratory Infections 4
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- COVID-19 epidemiological studies 17
- Co-authors
- Marc Barthélemy (3 shared papers)Maarten J. Postma (6 shared papers)Fabián P. Alvarez (5 shared papers)Richard Pitman (3 shared papers)Pieter T. de Boer (3 shared papers)Laura Temime (5 shared papers)Narimane Nekkab (4 shared papers)Pascal Astagneau (4 shared papers)
- Journals
- PLoS ONE (5 papers)Influenza and Other Respiratory Viruses (4 papers)Value in Health (4 papers)Scientific Reports (3 papers)BMC Public Health (3 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Pascal Crépey
56 papers receiving 761 citations
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 184
- Health 97
- Epidemiology 378
- Applied Microbiology and Biotechnology 17
- Infectious Diseases 157
Countries citing papers authored by Pascal Crépey
This map shows the geographic impact of Pascal Crépey'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 Pascal Crépey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Crépey more than expected).
Fields of papers citing papers by Pascal Crépey
This network shows the impact of papers produced by Pascal Crépey. 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 Pascal Crépey. The network helps show where Pascal Crépey may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Crépey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 54 | |
| 2 | 2017 | 48 | |
| 3 | 2006 | 46 | |
| 4 | 2022 | 42 | |
| 5 | 2007 | 40 | |
| 6 | 2021 | 39 | |
| 7 | 2015 | 37 | |
| 8 | 2017 | 36 | |
| 9 | 2016 | 29 | |
| 10 | 2022 | 29 | |
| 11 | 2022 | 26 | |
| 12 | 2020 | 26 | |
| 13 | 2014 | 24 | |
| 14 | 2012 | 20 | |
| 15 | 2020 | 18 | |
| 16 | 2021 | 18 | |
| 17 | 2017 | 17 | |
| 18 | 2017 | 14 | |
| 19 | 2013 | 12 | |
| 20 | 2007 | 11 |
About Pascal Crépey
Pascal Crépey is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Health and Economics and Econometrics, having authored 65 papers that have together received 780 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (24 papers), COVID-19 epidemiological studies (17 papers), Vaccine Coverage and Hesitancy (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Respiratory viral infections research (5 papers), Pneumonia and Respiratory Infections (4 papers), COVID-19 Pandemic Impacts (4 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Modeling and Simulation (184 citations), Health (97 citations), Epidemiology (378 citations), Applied Microbiology and Biotechnology (17 citations) and Infectious Diseases (157 citations). Pascal Crépey has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Marc Barthélemy, Maarten J. Postma, Fabián P. Alvarez, Richard Pitman, Pieter T. de Boer, Laura Temime, Narimane Nekkab, Pascal Astagneau, Laurent Coudeville and Avner Bar‐Hen. Their work appears in journals such as PLoS ONE, Influenza and Other Respiratory Viruses, Value in Health, Scientific Reports and BMC Public Health.
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.