Filippo Privitera

22 total papers · 776 total citations
9 papers, 404 citations indexed

About

Filippo Privitera is a scholar working on Transportation, Modeling and Simulation and Sociology and Political Science. According to data from OpenAlex, Filippo Privitera has authored 9 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Transportation, 7 papers in Modeling and Simulation and 3 papers in Sociology and Political Science. Recurrent topics in Filippo Privitera's work include COVID-19 epidemiological studies (7 papers), Human Mobility and Location-Based Analysis (7 papers) and Urban, Neighborhood, and Segregation Studies (3 papers). Filippo Privitera is often cited by papers focused on COVID-19 epidemiological studies (7 papers), Human Mobility and Location-Based Analysis (7 papers) and Urban, Neighborhood, and Segregation Studies (3 papers). Filippo Privitera collaborates with scholars based in Italy, Spain and United Kingdom. Filippo Privitera's co-authors include Brennan Lake, Laëtitia Gauvin, Michele Tizzoni, Paolo Bajardi, Emanuele Pepe, Ciro Cattuto, Riccardo Gallotti, Marco De Nadai, Luca Pappalardo and Bruno Lepri and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Filippo Privitera

9 papers receiving 398 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Filippo Privitera 227 197 84 83 62 9 404
Stefania Rubrichi 159 0.7× 115 0.6× 76 0.9× 58 0.7× 39 0.6× 16 379
Alessandra Carioli 212 0.9× 79 0.4× 94 1.1× 67 0.8× 75 1.2× 16 483
Luigi Di Francesco 244 1.1× 150 0.8× 158 1.9× 41 0.5× 135 2.2× 10 479
Sunil S. Solomon 144 0.6× 104 0.5× 50 0.6× 186 2.2× 24 0.4× 23 481
Pengcheng Zhao 140 0.6× 105 0.5× 58 0.7× 21 0.3× 39 0.6× 21 459
Nicolò Gozzi 197 0.9× 34 0.2× 66 0.8× 61 0.7× 16 0.3× 18 379
C Sabbatini 341 1.5× 22 0.1× 115 1.4× 114 1.4× 23 0.4× 7 474
Boyeong Hong 70 0.3× 104 0.5× 41 0.5× 23 0.3× 103 1.7× 9 457
Shohei Nagata 142 0.6× 136 0.7× 40 0.5× 40 0.5× 81 1.3× 14 432
Rafael Prieto-Curiel 47 0.2× 154 0.8× 64 0.8× 23 0.3× 55 0.9× 34 487

Countries citing papers authored by Filippo Privitera

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Privitera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Privitera

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Privitera. A scholar is included among the top collaborators of Filippo Privitera 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 Filippo Privitera. Filippo Privitera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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