Filippo Privitera

790 total citations
9 papers, 413 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 413 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, United States and United Kingdom. Filippo Privitera's co-authors include Brennan Lake, Laëtitia Gauvin, Emanuele Pepe, Michele Tizzoni, Paolo Bajardi, Ciro Cattuto, Riccardo Gallotti, Luca Pappalardo, Marco De Nadai 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 407 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Filippo Privitera Italy	7	229	200	85	83	62	9	413
Brennan Lake Italy	5	202 0.9×	143 0.7×	76 0.9×	63 0.8×	52 0.8×	6	313
Emanuele Pepe Italy	3	198 0.9×	131 0.7×	69 0.8×	71 0.9×	49 0.8×	3	297
Weiyu Luo United States	6	286 1.2×	246 1.2×	106 1.2×	124 1.5×	76 1.2×	12	519
Stefania Rubrichi France	9	160 0.7×	115 0.6×	78 0.9×	58 0.7×	40 0.6×	16	386
Spyridon Spyratos Italy	8	178 0.8×	175 0.9×	158 1.9×	80 1.0×	111 1.8×	17	553
Marietta M. Squire United States	4	424 1.9×	154 0.8×	188 2.2×	144 1.7×	81 1.3×	5	597
Dongsheng Hu China	3	147 0.6×	78 0.4×	62 0.7×	71 0.9×	39 0.6×	9	238
Maximilian Marshall United States	4	445 1.9×	156 0.8×	191 2.2×	163 2.0×	81 1.3×	6	641
Luigi Di Francesco Italy	8	244 1.1×	152 0.8×	158 1.9×	41 0.5×	135 2.2×	10	482
Aref Darzi United States	8	96 0.4×	163 0.8×	64 0.8×	31 0.4×	48 0.8×	12	302

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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9 of 9 papers shown

Klein, Brennan, Lisa Friedland, Filippo Privitera, et al.. (2024). Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic. SHILAP Revista de lepidopterología. 3(2). e0000430–e0000430. 4 indexed citations

Botta, Federico, et al.. (2023). COVID-19 is linked to changes in the time–space dimension of human mobility. Nature Human Behaviour. 7(10). 1729–1739. 33 indexed citations

Ren, Yongli, et al.. (2023). Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. ACM Transactions on Spatial Algorithms and Systems. 9(2). 1–22. 4 indexed citations

Gallotti, Riccardo, et al.. (2023). Spatial immunization to abate disease spreading in transportation hubs. Nature Communications. 14(1). 1448–1448. 8 indexed citations

Adler, Nicole, et al.. (2022). Does big data help answer big questions? The case of airport catchment areas & competition. Transportation Research Part B Methodological. 166. 444–467. 12 indexed citations

Pappalardo, Luca, et al.. (2021). Living in a pandemic: changes in mobility routines, social activity and adherence to COVID-19 protective measures. Scientific Reports. 11(1). 24452–24452. 50 indexed citations

Gauvin, Laëtitia, Paolo Bajardi, Emanuele Pepe, et al.. (2021). Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods. Journal of The Royal Society Interface. 18(181). 20210092–20210092. 48 indexed citations

Pepe, Emanuele, Paolo Bajardi, Laëtitia Gauvin, et al.. (2020). COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown. Scientific Data. 7(1). 230–230. 230 indexed citations

Privitera, Filippo, et al.. (2020). Mobility Patterns and Income Distribution in Times of Crisis: U.S. Urban Centers During the COVID-19 Pandemic. SSRN Electronic Journal. 24 indexed citations

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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