Daniela Perrotta
- Epidemiology
- Modeling and Simulation top 2%
- Sociology and Political Science
- Health top 10%
- Clinical Psychology
- Co-authors
- Daniela PaolottiEmilio ZagheniEmanuele Del FavaMichele TizzoniFrancesco RampazzoNicola PerraSofía Gil‐ClavelAndré Grow
- Topics
- COVID-19 epidemiological studies (9 papers)Influenza Virus Research Studies (8 papers)Data-Driven Disease Surveillance (8 papers)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Daniela Perrotta
19 papers receiving 428 citations
Peers
Comparison fields: 5 of 90
- Epidemiology 210
- Modeling and Simulation 181
- Sociology and Political Science 83
- Health 75
- 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 of co-authors of Daniela Perrotta
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Perrotta. A scholar is included among the top collaborators of Daniela Perrotta 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 Daniela Perrotta. Daniela Perrotta 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 | 6 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 26 | |
| 7 | 40 | |
| 8 | 62 | |
| 9 | 0 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | 52 | |
| 16 | 32 | |
| 17 | 28 | |
| 18 | 46 | |
| 19 | 37 | |
| 20 | [Malassezia species isolated from skin diseases in a care center in the city of Buenos Aires, Argentina]. | 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) and Data-Driven Disease Surveillance (8 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.