Daniela Paolotti

75 papers and 1.4k indexed citations i.

About

Daniela Paolotti is a scholar working on Epidemiology, Modeling and Simulation and Sociology and Political Science. According to data from OpenAlex, Daniela Paolotti has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 29 papers in Modeling and Simulation and 16 papers in Sociology and Political Science. Recurrent topics in Daniela Paolotti’s work include COVID-19 epidemiological studies (29 papers), Influenza Virus Research Studies (25 papers) and Data-Driven Disease Surveillance (24 papers). Daniela Paolotti is often cited by papers focused on COVID-19 epidemiological studies (29 papers), Influenza Virus Research Studies (25 papers) and Data-Driven Disease Surveillance (24 papers). Daniela Paolotti collaborates with scholars based in Italy, United States and United Kingdom. Daniela Paolotti's co-authors include Nicola Perra, Michele Tizzoni, Alessandro Vespignani, Vittoria Colizza, Daniela Perrotta, Michele Starnini, Ciro Cattuto, Paolo Bajardi, Ken Eames and Hao Hu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Physics Condensed Matter.

In The Last Decade

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

Fields of papers citing papers by Daniela Paolotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Paolotti. 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 Paolotti. The network helps show where Daniela Paolotti may publish in the future.

Countries citing papers authored by Daniela Paolotti

Since Specialization
Citations

This map shows the geographic impact of Daniela Paolotti'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 Paolotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Paolotti 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025