Filippo Trentini

37 papers and 1.5k indexed citations i.

About

Filippo Trentini is a scholar working on Modeling and Simulation, Infectious Diseases and Health. According to data from OpenAlex, Filippo Trentini has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Modeling and Simulation, 23 papers in Infectious Diseases and 8 papers in Health. Recurrent topics in Filippo Trentini’s work include COVID-19 epidemiological studies (25 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and COVID-19 Clinical Research Studies (9 papers). Filippo Trentini is often cited by papers focused on COVID-19 epidemiological studies (25 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and COVID-19 Clinical Research Studies (9 papers). Filippo Trentini collaborates with scholars based in Italy, United States and China. Filippo Trentini's co-authors include Stefano Merler, Piero Poletti, Giorgio Guzzetta, Marco Ajelli, Valentina Marziano, Alessia Melegaro, Clelia Di Serio, Mauro Pala, Leonie Brockmann and Richard A. Flavell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Filippo Trentini i

Fields of papers citing papers by Filippo Trentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Filippo Trentini

Since Specialization
Citations

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