Chiara Poletto

5.5k citations
59 papers · 3.3k · 1 hit paper · h-index 27

Impact in

Papers in

Chiara Poletto

58 papers receiving 3.2k citations

Chiara Poletto's Hit Papers

Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study 2020 · 793 citations
7930+2+4Years since publication250500750

Peers

Chiara Poletto
Comparison fields: 5 of 167
  • Modeling and Simulation 1.6k
  • Infectious Diseases 719
  • Statistical and Nonlinear Physics 504
  • Transportation 227
  • Public Health, Environmental and Occupational Health 612
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Chiara Poletto relative to Bryan Lewis United States Bryan Lewis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chiara Poletto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Chiara Poletto Line = papers co-authored together Chiara Poletto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study
Hit paper breakdown →
2020793
2 2011355
3 2012189
4
Analytical computation of the epidemic threshold on temporal networks
2016140
5 2014132
6 2014103
7 202192
8 202089
9 201886
10 202076
11 201474
12 201367
13 200064
14 201361
15 201460
16 202158
17 201558
18 201256
19 201852
20 201645

About Chiara Poletto

Chiara Poletto is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics, having authored 59 papers that have together received 3.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (35 papers), Influenza Virus Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Data-Driven Disease Surveillance (7 papers), Complex Network Analysis Techniques (7 papers), Evolution and Genetic Dynamics (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Infectious Diseases (719 citations), Statistical and Nonlinear Physics (504 citations), Transportation (227 citations) and Public Health, Environmental and Occupational Health (612 citations). Chiara Poletto has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Vittoria Colizza, Pierre‐Yves Boëlle, Eugenio Valdano, Michele Tizzoni, Alessandro Vespignani, José J. Ramasco, Francesco Pinotti, Paolo Bajardi, Giulia Pullano and Yazdan Yazdanpanah. Their work appears in journals such as Eurosurveillance, BMC Infectious Diseases, Scientific Reports, 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.

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