Simon Galmiche
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 6
-
- COVID-19 epidemiological studies 7
- Co-authors
- Arnaud Fontanet (16 shared papers)Xavier de Lamballerie (1 shared paper)Paul Loubet (1 shared paper)Linda Wittkop (1 shared paper)Odile Launay (1 shared paper)Liêm Binh Luong Nguyen (1 shared paper)Éric Tartour (1 shared paper)Tiffany Charmet (13 shared papers)
In The Last Decade
Simon Galmiche
16 papers receiving 362 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 104
- Infectious Diseases 233
- Health 61
- Obstetrics and Gynecology 26
- Clinical Psychology 63
Countries citing papers authored by Simon Galmiche
This map shows the geographic impact of Simon Galmiche'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 Simon Galmiche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Galmiche more than expected).
Fields of papers citing papers by Simon Galmiche
This network shows the impact of papers produced by Simon Galmiche. 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 Simon Galmiche. The network helps show where Simon Galmiche may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Galmiche, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 120 | |
| 2 | 2021 | 85 | |
| 3 | 2021 | 56 | |
| 4 | 2023 | 38 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 19 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 3 | |
| 9 | Etude des facteurs sociodémographiques, comportements et pratiques associés à l’infection par le SARS-CoV-2 (ComCor) | 2021 | 3 |
| 10 | 2021 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Simon Galmiche
Simon Galmiche is a scholar working on Infectious Diseases, Modeling and Simulation, Clinical Psychology, Health and Neurology, having authored 22 papers that have together received 367 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 epidemiological studies (7 papers), COVID-19 Clinical Research Studies (6 papers), COVID-19 and Mental Health (5 papers), Infection Control and Ventilation (3 papers), Long-Term Effects of COVID-19 (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Psychology of Moral and Emotional Judgment (2 papers). The work is most often cited by research in Modeling and Simulation (104 citations), Infectious Diseases (233 citations), Health (61 citations), Obstetrics and Gynecology (26 citations) and Clinical Psychology (63 citations). Simon Galmiche has collaborated with scholars based in France, Canada and Rwanda. Frequent co-authors include Arnaud Fontanet, Xavier de Lamballerie, Paul Loubet, Linda Wittkop, Odile Launay, Liêm Binh Luong Nguyen, Éric Tartour, Tiffany Charmet, Fabrice Carrat and Christophe David. Their work appears in journals such as BMC Public Health, The Lancet Regional Health - Europe, Journal of Medical Internet Research, JAMA Network Open and Clinical Microbiology and Infection.
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.