Franck Mboussou
- Infectious Diseases top 10%
- Modeling and Simulation top 2%
- Epidemiology
- Health top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Bénido ImpoumaOlivia KeiserGeorge Sie WilliamsEsther HamblionBridget FarhamRoland NgomAntoine FlahaultOpeayo Ogundiran
- Topics
- COVID-19 epidemiological studies (18 papers)Vaccine Coverage and Hesitancy (17 papers)Viral Infections and Outbreaks Research (15 papers)
- Partner nations
- Republic of the CongoSwitzerlandUnited States
In The Last Decade
Franck Mboussou
34 papers receiving 347 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 181
- Modeling and Simulation 133
- Epidemiology 90
- Health 77
- Public Health, Environmental and Occupational Health 56
Countries citing papers authored by Franck Mboussou
This map shows the geographic impact of Franck Mboussou'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 Franck Mboussou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Mboussou more than expected).
Fields of papers citing papers by Franck Mboussou
This network shows the impact of papers produced by Franck Mboussou. 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 Franck Mboussou. The network helps show where Franck Mboussou may publish in the future.
Co-authorship network of co-authors of Franck Mboussou
This figure shows the co-authorship network connecting the top 25 collaborators of Franck Mboussou. A scholar is included among the top collaborators of Franck Mboussou 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 Franck Mboussou. Franck Mboussou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 7 | |
| 14 | 27 | |
| 15 | The first eight months of COVID-19 pandemic in three West African countries: leveraging lessons learned from responses to the 2014-2016 Ebola virus disease outbreak | 17 |
| 16 | 24 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 18 |
About Franck Mboussou
Franck Mboussou is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 37 papers that have together received 356 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Vaccine Coverage and Hesitancy (17 papers) and Viral Infections and Outbreaks Research (15 papers). The work is most often cited by research in Modeling and Simulation (133 citations), Infectious Diseases (181 citations) and Health (77 citations). Franck Mboussou has collaborated with scholars based in Republic of the Congo, Switzerland and United States. Frequent co-authors include Bénido Impouma, Olivia Keiser, George Sie Williams, Esther Hamblion, Bridget Farham, Roland Ngom, Antoine Flahault, Opeayo Ogundiran, Cláudia Torres Codeço and Caitlin M. Wolfe. Their work appears in journals such as The Lancet, PLoS ONE and Emerging 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.