Leonardo Villani
- Health top 5%
- Clinical Psychology top 10%
- Infectious Diseases top 10%
- General Health Professions top 10%
- Modeling and Simulation top 2%
- Co-authors
- Walter RicciardiStefania BocciaRoberta PastorinoGuendalina GraffignaMario De CurtisEnrico MolinariAngelo Maria PezzulloFloriana D’Ambrosio
- Topics
- Vaccine Coverage and Hesitancy (14 papers)SARS-CoV-2 and COVID-19 Research (10 papers)COVID-19 and Mental Health (7 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Leonardo Villani
37 papers receiving 795 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Health 201
- Clinical Psychology 197
- Infectious Diseases 174
- General Health Professions 169
- Modeling and Simulation 108
Countries citing papers authored by Leonardo Villani
This map shows the geographic impact of Leonardo Villani'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 Leonardo Villani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Villani more than expected).
Fields of papers citing papers by Leonardo Villani
This network shows the impact of papers produced by Leonardo Villani. 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 Leonardo Villani. The network helps show where Leonardo Villani may publish in the future.
Co-authorship network of co-authors of Leonardo Villani
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Villani. A scholar is included among the top collaborators of Leonardo Villani 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 Leonardo Villani. Leonardo Villani 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 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 20 | |
| 11 | 17 | |
| 12 | 5 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | 109 | |
| 16 | 73 | |
| 17 | Impact of the COVID-19 pandemic on psychological well-being of students in an Italian university: a web-based cross-sectional surveybreakdown → | 155 |
| 18 | 8 | |
| 19 | 35 | |
| 20 | 110 |
About Leonardo Villani
Leonardo Villani is a scholar working on Health, Modeling and Simulation and Health Informatics, having authored 43 papers that have together received 821 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (14 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and COVID-19 and Mental Health (7 papers). The work is most often cited by research in Health (201 citations), Modeling and Simulation (108 citations) and Obstetrics and Gynecology (91 citations). Leonardo Villani has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Walter Ricciardi, Stefania Boccia, Roberta Pastorino, Guendalina Graffigna, Mario De Curtis, Enrico Molinari, Angelo Maria Pezzullo, Floriana D’Ambrosio, Patrizia Laurenti and Andrea Gentili. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and Scientific Reports.
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.