Flavia Riccardo
- Infectious Diseases top 1%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Health top 2%
- Epidemiology top 10%
- Co-authors
- Patrizio PezzottiAntonino BellaMartina Del MansoGiovanni RezzaMassimo FabianiSilvia DeclichAlberto Mateo‐UrdialesMaria Grazia Dente
- Topics
- COVID-19 epidemiological studies (31 papers)Vaccine Coverage and Hesitancy (23 papers)SARS-CoV-2 and COVID-19 Research (21 papers)
- Partner nations
- ItalySwedenUnited States
In The Last Decade
Flavia Riccardo
92 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 121
- Infectious Diseases 995
- Modeling and Simulation 403
- Public Health, Environmental and Occupational Health 401
- Health 372
- Epidemiology 361
Countries citing papers authored by Flavia Riccardo
This map shows the geographic impact of Flavia Riccardo'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 Flavia Riccardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flavia Riccardo more than expected).
Fields of papers citing papers by Flavia Riccardo
This network shows the impact of papers produced by Flavia Riccardo. 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 Flavia Riccardo. The network helps show where Flavia Riccardo may publish in the future.
Co-authorship network of co-authors of Flavia Riccardo
This figure shows the co-authorship network connecting the top 25 collaborators of Flavia Riccardo. A scholar is included among the top collaborators of Flavia Riccardo 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 Flavia Riccardo. Flavia Riccardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 41 | |
| 8 | 59 | |
| 9 | 62 | |
| 10 | 46 | |
| 11 | 10 | |
| 12 | Effectiveness of regional restrictions in reducing SARS-CoV-2 transmission during the second wave of COVID-19, Italy | 5 |
| 13 | 125 | |
| 14 | 40 | |
| 15 | 50 | |
| 16 | 11 | |
| 17 | 18 | |
| 18 | 56 | |
| 19 | 9 | |
| 20 | REDESIGN OF AFFORDABLE HOUSING FACADES. PREPARATION OF A VISUAL EXPERIMENT | 5 |
About Flavia Riccardo
Flavia Riccardo is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (31 papers), Vaccine Coverage and Hesitancy (23 papers) and SARS-CoV-2 and COVID-19 Research (21 papers). The work is most often cited by research in Modeling and Simulation (403 citations), Infectious Diseases (995 citations) and Health (372 citations). Flavia Riccardo has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Patrizio Pezzotti, Antonino Bella, Martina Del Manso, Giovanni Rezza, Massimo Fabiani, Silvia Declich, Alberto Mateo‐Urdiales, Maria Grazia Dente, Silvio Brusaferro and Xanthi Andrianou. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet 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.