Séverine Ansart
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Viral Infections and Vectors
Papers in
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- COVID-19 epidemiological studies 4
-
- Hepatitis Viruses Studies and Epidemiology 7
- Co-authors
- Alain‐Jacques ValleronPierre‐Yves BoëlleAnne CoriFrançois BricaireAntoine FlahaultÉric CaumesFabrice CarratLucia Perez
In The Last Decade
Séverine Ansart
44 papers receiving 853 citations
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 192
- Infectious Diseases 307
- Epidemiology 378
- Public Health, Environmental and Occupational Health 227
- Virology 36
Countries citing papers authored by Séverine Ansart
This map shows the geographic impact of Séverine Ansart'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 Séverine Ansart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Séverine Ansart more than expected).
Fields of papers citing papers by Séverine Ansart
This network shows the impact of papers produced by Séverine Ansart. 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 Séverine Ansart. The network helps show where Séverine Ansart may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Séverine Ansart, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 27 | |
| 11 | 2011 | 126 | |
| 12 | 2010 | 17 | |
| 13 | 2010 | 15 | |
| 14 | 2009 | 1 | |
| 15 | 2009 | 21 | |
| 16 | 2009 | 102 | |
| 17 | 2009 | 31 | |
| 18 | 2006 | 3 | |
| 19 | 2006 | 21 | |
| 20 | 2006 | 6 |
About Séverine Ansart
Séverine Ansart is a scholar working on Modeling and Simulation, Hepatology, Infectious Diseases, Epidemiology and Microbiology, having authored 49 papers that have together received 895 indexed citations. Recurring topics across this work include Travel-related health issues (9 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Infective Endocarditis Diagnosis and Management (7 papers), Influenza Virus Research Studies (6 papers), Orthopedic Infections and Treatments (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Pneumonia and Respiratory Infections (5 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (192 citations), Infectious Diseases (307 citations), Epidemiology (378 citations), Public Health, Environmental and Occupational Health (227 citations) and Virology (36 citations). Séverine Ansart has collaborated with scholars based in France, Canada and Australia. Frequent co-authors include Alain‐Jacques Valleron, Pierre‐Yves Boëlle, Anne Cori, François Bricaire, Antoine Flahault, Éric Caumes, Fabrice Carrat, Lucia Perez, Camille Pelat and Martin Danis. Their work appears in journals such as Journal of Travel Medicine, International Journal of Infectious Diseases, Influenza and Other Respiratory Viruses, Journal of Antimicrobial Chemotherapy and Clinical Infectious Diseases.
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.