D Coulombier
- Infectious Diseases top 5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 2%
- Hepatology top 10%
- Co-authors
- Christophe PaquetReinhard KaiserCéline M GossnerMassimo CiottiA NicollH. ZellerEttore SeveriPasi Penttinen
- Topics
- Viral Infections and Outbreaks Research (15 papers)Data-Driven Disease Surveillance (13 papers)COVID-19 epidemiological studies (9 papers)
- Partner nations
- SwedenFranceNetherlands
In The Last Decade
D Coulombier
56 papers receiving 928 citations
Peers
Comparison fields: 5 of 109
- Infectious Diseases 458
- Epidemiology 351
- Public Health, Environmental and Occupational Health 270
- Modeling and Simulation 156
- Hepatology 86
Countries citing papers authored by D Coulombier
This map shows the geographic impact of D Coulombier'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 D Coulombier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Coulombier more than expected).
Fields of papers citing papers by D Coulombier
This network shows the impact of papers produced by D Coulombier. 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 D Coulombier. The network helps show where D Coulombier may publish in the future.
Co-authorship network of co-authors of D Coulombier
This figure shows the co-authorship network connecting the top 25 collaborators of D Coulombier. A scholar is included among the top collaborators of D Coulombier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D Coulombier. D Coulombier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 51 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 32 | |
| 17 | 0 | |
| 18 | Une épidémie de dermatite cercarienne dans un parc du Delaware | 1 |
| 19 | Enquêtes nutritionnelles : analyse et interprétation de l’indice poids-taille | 2 |
| 20 | Enquêtes nutritionnelles anthropométriques rapides (ENAR) en situation précaire | 4 |
About D Coulombier
D Coulombier is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 59 papers that have together received 976 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (15 papers), Data-Driven Disease Surveillance (13 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Modeling and Simulation (156 citations), Infectious Diseases (458 citations) and Hepatology (86 citations). D Coulombier has collaborated with scholars based in Sweden, France and Netherlands. Frequent co-authors include Christophe Paquet, Reinhard Kaiser, Céline M Gossner, Massimo Ciotti, A Nicoll, H. Zeller, Ettore Severi, Pasi Penttinen, Evelyn Depoortere and Annick Lenglet. Their work appears in journals such as Emerging infectious diseases, Vaccine 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.