Chiara Poletto
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 39
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 9
- Viral Infections and Outbreaks Research 7
- Transportation top 2%
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- Complex Network Analysis Techniques 8
- Health top 5%
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- Influenza Virus Research Studies 14
- Data-Driven Disease Surveillance 10
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- Evolution and Genetic Dynamics 6
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- Mathematical and Theoretical Epidemiology and Ecology Models 6
- Co-authors
- Vittoria ColizzaPierre‐Yves BoëlleMichele TizzoniAlessandro VespignaniEugenio ValdanoJosé J. RamascoFrancesco PinottiPaolo Bajardi
- Partner nations
- FranceItalyUnited States
In The Last Decade
Chiara Poletto
57 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Modeling and Simulation 1.8k
- Infectious Diseases 882
- Transportation 229
- Statistical and Nonlinear Physics 398
- Health 189
Countries citing papers authored by Chiara Poletto
This map shows the geographic impact of Chiara Poletto'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 Chiara Poletto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Poletto more than expected).
Fields of papers citing papers by Chiara Poletto
This network shows the impact of papers produced by Chiara Poletto. 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 Chiara Poletto. The network helps show where Chiara Poletto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chiara Poletto, 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 | 2024 | 1 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 56 | |
| 5 | 2021 | 89 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 85 | |
| 8 | 2020 | 24 | |
| 9 | Preparedness and vulnerability of African countries against importations of COVID-19: a modelling studybreakdown → | 2020 | 785 |
| 10 | 2019 | 8 | |
| 11 | 2019 | 20 | |
| 12 | 2018 | 14 | |
| 13 | 2018 | 85 | |
| 14 | 2018 | 3 | |
| 15 | 2013 | 59 | |
| 16 | 2013 | 38 | |
| 17 | 2013 | 42 | |
| 18 | 2012 | 183 | |
| 19 | 2011 | 353 | |
| 20 | 2009 | 18 |
About Chiara Poletto
Chiara Poletto is a scholar working on Modeling and Simulation, Infectious Diseases, Research and Theory, Epidemiology and Statistical and Nonlinear Physics, having authored 58 papers that have together received 3.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (39 papers), Influenza Virus Research Studies (14 papers), Data-Driven Disease Surveillance (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Complex Network Analysis Techniques (8 papers), Viral Infections and Outbreaks Research (7 papers), Evolution and Genetic Dynamics (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (6 papers). The work is most often cited by research in Modeling and Simulation (1.8k citations), Infectious Diseases (882 citations), Transportation (229 citations), Statistical and Nonlinear Physics (398 citations) and Health (189 citations). Chiara Poletto has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Vittoria Colizza, Pierre‐Yves Boëlle, Michele Tizzoni, Alessandro Vespignani, Eugenio Valdano, José J. Ramasco, Francesco Pinotti, Paolo Bajardi, Giulia Pullano and Yazdan Yazdanpanah. Their work appears in journals such as Eurosurveillance, Scientific Reports, BMC Infectious Diseases, Nature Communications and Epidemics.
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.