Paolo Bosetti
- Modeling and Simulation top 0.5%
- Infectious Diseases top 5%
- Economics and Econometrics top 10%
- Epidemiology
- Health top 5%
- Co-authors
- Simon CauchemezCécile Tran KiemArnaud FontanetPierre‐Yves BoëlleAlessio AndronicoD Lévy-BrühlJuliette PaireauHenrik Salje
- Topics
- COVID-19 epidemiological studies (16 papers)SARS-CoV-2 and COVID-19 Research (12 papers)COVID-19 Pandemic Impacts (6 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Paolo Bosetti
20 papers receiving 938 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 538
- Infectious Diseases 521
- Economics and Econometrics 152
- Epidemiology 148
- Health 109
Countries citing papers authored by Paolo Bosetti
This map shows the geographic impact of Paolo Bosetti'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 Paolo Bosetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Bosetti more than expected).
Fields of papers citing papers by Paolo Bosetti
This network shows the impact of papers produced by Paolo Bosetti. 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 Paolo Bosetti. The network helps show where Paolo Bosetti may publish in the future.
Co-authorship network of co-authors of Paolo Bosetti
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Bosetti. A scholar is included among the top collaborators of Paolo Bosetti 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 Paolo Bosetti. Paolo Bosetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 28 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 39 | |
| 11 | A race between SARS-CoV-2 variants and vaccination: The case of the B.1.1.7 variant in France | 2 |
| 12 | 25 | |
| 13 | Short and medium-term challenges for COVID-19 vaccination: from prioritisation to the relaxation of measures | 3 |
| 14 | 5 | |
| 15 | 11 | |
| 16 | Estimating the burden of SARS-CoV-2 in Francebreakdown → | 636 |
| 17 | 20 | |
| 18 | 69 | |
| 19 | Evaluation des stratégies vaccinales COVID-19 avec un modèle mathématique populationnel | 2 |
| 20 | 2 |
About Paolo Bosetti
Paolo Bosetti is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 22 papers that have together received 961 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (16 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and COVID-19 Pandemic Impacts (6 papers). The work is most often cited by research in Modeling and Simulation (538 citations), Infectious Diseases (521 citations) and Health (109 citations). Paolo Bosetti has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Simon Cauchemez, Cécile Tran Kiem, Arnaud Fontanet, Pierre‐Yves Boëlle, Alessio Andronico, D Lévy-Brühl, Juliette Paireau, Henrik Salje, Noémie Lefrancq and Lulla Opatowski. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.