Piero Poletti
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 43
- Infectious Diseases top 1%
- Viral Infections and Vectors 20
- SARS-CoV-2 and COVID-19 Research 13
- Health top 2%
- Vaccine Coverage and Hesitancy 10
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- Mosquito-borne diseases and control 19
- Malaria Research and Control 9
- Epidemiology top 5%
- Herpesvirus Infections and Treatments 9
- Influenza Virus Research Studies 8
- Co-authors
- Stefano MerlerMarco AjelliGiorgio GuzzettaPiero ManfrediFilippo TrentiniAlessia MelegaroValentina MarzianoAlberto d’Onofrio
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Piero Poletti
68 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Modeling and Simulation 1.2k
- Infectious Diseases 984
- Health 327
- Public Health, Environmental and Occupational Health 834
- Epidemiology 704
Countries citing papers authored by Piero Poletti
This map shows the geographic impact of Piero Poletti'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 Piero Poletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piero Poletti more than expected).
Fields of papers citing papers by Piero Poletti
This network shows the impact of papers produced by Piero Poletti. 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 Piero Poletti. The network helps show where Piero Poletti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Piero Poletti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 41 | |
| 10 | 2021 | 62 | |
| 11 | 2021 | 46 | |
| 12 | Effectiveness of regional restrictions in reducing SARS-CoV-2 transmission during the second wave of COVID-19, Italy | 2021 | 5 |
| 13 | 2021 | 65 | |
| 14 | 2021 | 6 | |
| 15 | 2017 | 52 | |
| 16 | 2016 | 69 | |
| 17 | 2012 | 103 | |
| 18 | 2011 | 125 | |
| 19 | 2011 | 135 | |
| 20 | 2010 | 53 |
About Piero Poletti
Piero Poletti is a scholar working on Modeling and Simulation, Infectious Diseases, Health, Parasitology and Public Health, Environmental and Occupational Health, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (43 papers), Viral Infections and Vectors (20 papers), Mosquito-borne diseases and control (19 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Vaccine Coverage and Hesitancy (10 papers), Herpesvirus Infections and Treatments (9 papers), Malaria Research and Control (9 papers) and Influenza Virus Research Studies (8 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Infectious Diseases (984 citations), Health (327 citations), Public Health, Environmental and Occupational Health (834 citations) and Epidemiology (704 citations). Piero Poletti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Stefano Merler, Marco Ajelli, Giorgio Guzzetta, Piero Manfredi, Filippo Trentini, Alessia Melegaro, Valentina Marziano, Alberto d’Onofrio, Andrea Pugliese and Roberto Rosà. Their work appears in journals such as BMC Medicine, PLoS ONE, PLoS neglected tropical diseases, Eurosurveillance 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.