Daniela Perrotta
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 9
- Health top 10%
- Social Media in Health Education 4
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- Influenza Virus Research Studies 8
- Data-Driven Disease Surveillance 8
- Transportation top 10%
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- COVID-19 and Mental Health 3
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- Misinformation and Its Impacts 4
- Survey Methodology and Nonresponse 2
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- Social Media and Politics 2
- Co-authors
- Daniela PaolottiEmilio ZagheniEmanuele Del FavaMichele TizzoniFrancesco RampazzoNicola PerraSofía Gil‐ClavelAndré Grow
- Journals
- PLoS ONE (2 papers)PLoS Computational Biology (2 papers)Journal of Medical Internet Research (2 papers)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Daniela Perrotta
19 papers receiving 428 citations
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 181
- Health 75
- Epidemiology 210
- Transportation 30
- Clinical Psychology 56
Countries citing papers authored by Daniela Perrotta
This map shows the geographic impact of Daniela Perrotta'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 Daniela Perrotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Perrotta more than expected).
Fields of papers citing papers by Daniela Perrotta
This network shows the impact of papers produced by Daniela Perrotta. 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 Daniela Perrotta. The network helps show where Daniela Perrotta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Perrotta, 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 | 2023 | 6 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 62 | |
| 9 | 2021 | 0 | |
| 10 | 2020 | 20 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 24 | |
| 13 | 2019 | 25 | |
| 14 | 2019 | 2 | |
| 15 | 2017 | 52 | |
| 16 | 2017 | 32 | |
| 17 | 2017 | 28 | |
| 18 | 2017 | 46 | |
| 19 | 2017 | 37 | |
| 20 | [Malassezia species isolated from skin diseases in a care center in the city of Buenos Aires, Argentina]. | 2004 | 3 |
About Daniela Perrotta
Daniela Perrotta is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 21 papers that have together received 436 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (8 papers), Data-Driven Disease Surveillance (8 papers), Misinformation and Its Impacts (4 papers), Social Media in Health Education (4 papers), COVID-19 and Mental Health (3 papers), Social Media and Politics (2 papers) and Survey Methodology and Nonresponse (2 papers). The work is most often cited by research in Modeling and Simulation (181 citations), Health (75 citations) and Epidemiology (210 citations). Daniela Perrotta has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Daniela Paolotti, Emilio Zagheni, Emanuele Del Fava, Michele Tizzoni, Francesco Rampazzo, Nicola Perra, Sofía Gil‐Clavel, André Grow, Alessandro Vespignani and Antonino Bella. Their work appears in journals such as PLoS ONE, PLoS Computational Biology and Journal of Medical Internet Research.
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.