Giorgio Guzzetta
- Infectious Diseases top 2%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Health top 5%
- Co-authors
- Stefano MerlerPiero PolettiMarco AjelliValentina MarzianoFilippo TrentiniRoberto RosàPiero ManfrediMattia Manica
- Topics
- COVID-19 epidemiological studies (34 papers)Viral Infections and Vectors (16 papers)Mosquito-borne diseases and control (16 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Giorgio Guzzetta
63 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Infectious Diseases 726
- Modeling and Simulation 576
- Public Health, Environmental and Occupational Health 399
- Epidemiology 388
- Health 172
Countries citing papers authored by Giorgio Guzzetta
This map shows the geographic impact of Giorgio Guzzetta'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 Giorgio Guzzetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Guzzetta more than expected).
Fields of papers citing papers by Giorgio Guzzetta
This network shows the impact of papers produced by Giorgio Guzzetta. 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 Giorgio Guzzetta. The network helps show where Giorgio Guzzetta may publish in the future.
Co-authorship network of co-authors of Giorgio Guzzetta
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Guzzetta. A scholar is included among the top collaborators of Giorgio Guzzetta 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 Giorgio Guzzetta. Giorgio Guzzetta 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 | 14 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 41 | |
| 11 | 62 | |
| 12 | 46 | |
| 13 | Effectiveness of regional restrictions in reducing SARS-CoV-2 transmission during the second wave of COVID-19, Italy | 5 |
| 14 | 65 | |
| 15 | 6 | |
| 16 | 52 | |
| 17 | 18 | |
| 18 | 13 | |
| 19 | 32 | |
| 20 | 18 |
About Giorgio Guzzetta
Giorgio Guzzetta is a scholar working on Modeling and Simulation, Infectious Diseases and Virology, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (34 papers), Viral Infections and Vectors (16 papers) and Mosquito-borne diseases and control (16 papers). The work is most often cited by research in Modeling and Simulation (576 citations), Infectious Diseases (726 citations) and Virology (101 citations). Giorgio Guzzetta has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Stefano Merler, Piero Poletti, Marco Ajelli, Valentina Marziano, Filippo Trentini, Roberto Rosà, Piero Manfredi, Mattia Manica, Alessia Melegaro and Annapaola Rizzoli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.