Daniela Perrotta

18 papers and 403 indexed citations i.

About

Daniela Perrotta is a scholar working on Epidemiology, Modeling and Simulation and Sociology and Political Science. According to data from OpenAlex, Daniela Perrotta has authored 18 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Modeling and Simulation and 6 papers in Sociology and Political Science. Recurrent topics in Daniela Perrotta’s work include COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (7 papers) and Data-Driven Disease Surveillance (7 papers). Daniela Perrotta is often cited by papers focused on COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (7 papers) and Data-Driven Disease Surveillance (7 papers). Daniela Perrotta collaborates with scholars based in United Kingdom, Italy and Germany. Daniela Perrotta's co-authors include Daniela Paolotti, Emanuele Del Fava, Emilio Zagheni, Michele Tizzoni, Nicola Perra, Francesco Rampazzo, Sofía Gil‐Clavel, André Grow, Alessandro Vespignani and Caterina Rizzo and has published in prestigious journals such as PLoS ONE, PLoS Computational Biology and Journal of Medical Internet Research.

In The Last Decade

Co-authorship network of co-authors of Daniela Perrotta i

Fields of papers citing papers by Daniela Perrotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniela Perrotta

Since Specialization
Citations

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).

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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2025