Giulia Pullano
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 11
- Infectious Diseases top 5%
- Viral Infections and Outbreaks Research 3
- SARS-CoV-2 and COVID-19 Research 2
- Transportation top 5%
- Health top 5%
- Economics and Econometrics top 2%
- COVID-19 Pandemic Impacts 7
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- COVID-19 and Mental Health 3
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- COVID-19 impact on air quality 1
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- Disaster Management and Resilience 1
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- Complex Network Analysis Techniques 1
- Co-authors
- Vittoria ColizzaPierre‐Yves BoëlleEugenio ValdanoChiara PolettoLaura Di DomenicoFrancesco PinottiC SabbatiniMarius Gilbert
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Giulia Pullano
12 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Modeling and Simulation 1.0k
- Infectious Diseases 525
- Transportation 137
- Health 161
- Economics and Econometrics 507
Countries citing papers authored by Giulia Pullano
This map shows the geographic impact of Giulia Pullano'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 Giulia Pullano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Pullano more than expected).
Fields of papers citing papers by Giulia Pullano
This network shows the impact of papers produced by Giulia Pullano. 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 Giulia Pullano. The network helps show where Giulia Pullano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giulia Pullano, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2021 | 45 | |
| 6 | 2021 | 19 | |
| 7 | Preparedness and vulnerability of African countries against importations of COVID-19: a modelling studybreakdown → | 2020 | 785 |
| 8 | 2020 | 223 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 254 | |
| 11 | 2020 | 149 | |
| 12 | 2020 | 76 | |
| 13 | 2019 | 12 |
About Giulia Pullano
Giulia Pullano is a scholar working on Modeling and Simulation, Infectious Diseases, Economics and Econometrics, Transportation and Clinical Psychology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), COVID-19 Pandemic Impacts (7 papers), COVID-19 and Mental Health (3 papers), Viral Infections and Outbreaks Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 impact on air quality (1 paper), Disaster Management and Resilience (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Modeling and Simulation (1.0k citations), Infectious Diseases (525 citations), Transportation (137 citations), Health (161 citations) and Economics and Econometrics (507 citations). Giulia Pullano has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Vittoria Colizza, Pierre‐Yves Boëlle, Eugenio Valdano, Chiara Poletto, Laura Di Domenico, Francesco Pinotti, C Sabbatini, Marius Gilbert, Yazdan Yazdanpanah and Mathias Altmann. Their work appears in journals such as Eurosurveillance, PLoS Medicine, Nature Communications, The Lancet Digital Health and BMC Infectious Diseases.
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.