Daniela Perrotta

1.0k total citations
21 papers, 436 citations indexed

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 21 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Modeling and Simulation and 8 papers in Sociology and Political Science. Recurrent topics in Daniela Perrotta's work include COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (8 papers) and Data-Driven Disease Surveillance (8 papers). Daniela Perrotta is often cited by papers focused on COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (8 papers) and Data-Driven Disease Surveillance (8 papers). Daniela Perrotta collaborates with scholars based in United Kingdom, Italy and Germany. Daniela Perrotta's co-authors include Daniela Paolotti, Emilio Zagheni, Emanuele Del Fava, Michele Tizzoni, Francesco Rampazzo, Nicola Perra, Sofía Gil‐Clavel, André Grow, Alessandro Vespignani and Antonino Bella and has published in prestigious journals such as PLoS ONE, PLoS Computational Biology and Journal of Medical Internet Research.

In The Last Decade

Daniela Perrotta

19 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Perrotta United Kingdom 12 210 181 83 75 56 21 436
Nicolò Gozzi United Kingdom 8 62 0.3× 199 1.1× 94 1.1× 89 1.2× 36 0.6× 18 383
Hu Min China 6 179 0.9× 259 1.4× 82 1.0× 39 0.5× 65 1.2× 20 491
Sara Y. Del Valle United States 6 136 0.6× 280 1.5× 55 0.7× 53 0.7× 84 1.5× 6 461
Baltazar Espinoza United States 10 97 0.5× 200 1.1× 140 1.7× 63 0.8× 31 0.6× 24 418
Vivian Wan In Wei Hong Kong 7 115 0.5× 202 1.1× 35 0.4× 50 0.7× 23 0.4× 9 320
Cuilian Li China 6 127 0.6× 133 0.7× 111 1.3× 30 0.4× 33 0.6× 19 332
Alessandro Rovetta Italy 12 173 0.8× 105 0.6× 278 3.3× 150 2.0× 66 1.2× 33 630
Gloria J. Kang United States 7 133 0.6× 124 0.7× 179 2.2× 267 3.6× 68 1.2× 14 559
Jonas Dehning Germany 6 131 0.6× 459 2.5× 52 0.6× 45 0.6× 56 1.0× 10 605
João Pinheiro Neto Germany 3 119 0.6× 406 2.2× 37 0.4× 37 0.5× 51 0.9× 3 535

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).

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.

Co-authorship network of co-authors of Daniela Perrotta

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

All Works

20 of 20 papers shown
1.
2.
Bajardi, Paolo, et al.. (2023). Behavioral Changes Associated With COVID-19 Vaccination: Cross-National Online Survey. Journal of Medical Internet Research. 25. e47563–e47563. 6 indexed citations
3.
Perrotta, Daniela, Enrique Frı́as-Martı́nez, Ana Pastore y Piontti, et al.. (2022). Comparing sources of mobility for modelling the epidemic spread of Zika virus in Colombia. PLoS neglected tropical diseases. 16(7). e0010565–e0010565. 8 indexed citations
4.
Perrotta, Daniela, et al.. (2022). Openness to Migrate Internationally for a Job: Evidence from LinkedIn Data in Europe. Proceedings of the International AAAI Conference on Web and Social Media. 16. 759–769. 2 indexed citations
5.
Grow, André, Daniela Perrotta, Emanuele Del Fava, et al.. (2022). Is Facebook’s Advertising Data Accurate Enough for Use in Social Science Research? Insights from a Cross-National Online Survey. Journal of the Royal Statistical Society Series A (Statistics in Society). 185(Supplement_2). S343–S363. 11 indexed citations
6.
Fava, Emanuele Del, Daniela Perrotta, André Grow, et al.. (2021). Differential impact of physical distancing strategies on social contacts relevant for the spread of SARS-CoV-2: evidence from a cross-national online survey, March–April 2020. BMJ Open. 11(10). e050651–e050651. 26 indexed citations
7.
Basellini, Ugofilippo, Diego Alburez‐Gutierrez, Emanuele Del Fava, et al.. (2021). Linking excess mortality to mobility data during the first wave of COVID-19 in England and Wales. SSM - Population Health. 14. 100799–100799. 40 indexed citations
8.
Perrotta, Daniela, André Grow, Francesco Rampazzo, et al.. (2021). Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey. EPJ Data Science. 10(1). 17–17. 62 indexed citations
9.
Perrotta, Daniela, et al.. (2021). La universidad argentina pre y post pandemia: acciones frente al Covid-19 y los desafíos de una (posible) reforma. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 10(2). 163–184.
10.
Grow, André, Daniela Perrotta, Emanuele Del Fava, et al.. (2020). Addressing Public Health Emergencies via Facebook Surveys: Advantages, Challenges, and Practical Considerations. Journal of Medical Internet Research. 22(12). e20653–e20653. 20 indexed citations
11.
Grow, André, Daniela Perrotta, Emanuele Del Fava, et al.. (2020). Addressing Public Health Emergencies via Facebook Surveys: Advantages, Challenges, and Practical Considerations. Oxford University Research Archive (ORA) (University of Oxford). 1 indexed citations
12.
Gozzi, Nicolò, Daniela Perrotta, Daniela Paolotti, & Nicola Perra. (2020). Towards a data-driven characterization of behavioral changes induced by the seasonal flu. PLoS Computational Biology. 16(5). e1007879–e1007879. 24 indexed citations
13.
Kalimeri, Kyriaki, Ciro Cattuto, Daniela Perrotta, et al.. (2019). Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms. PLoS Computational Biology. 15(4). e1006173–e1006173. 25 indexed citations
14.
Perrotta, Daniela, et al.. (2019). Spatio-temporal Analysis of Flu-related Drugs Uptake in an Online Cohort in England. 111–118. 2 indexed citations
15.
Colizza, Vittoria, Caroline Guerrisi, Clément Turbelin, et al.. (2017). Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe. JMIR Public Health and Surveillance. 3(3). e66–e66. 52 indexed citations
16.
Brownstein, John S., Achla Marathe, Madhav Marathe, et al.. (2017). Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR Public Health and Surveillance. 3(4). e83–e83. 32 indexed citations
17.
Perrotta, Daniela, Michele Tizzoni, & Daniela Paolotti. (2017). Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy. Institutional Research Information System (Università degli Studi di Trento). 303–310. 28 indexed citations
18.
Zhang, Qian, Nicola Perra, Daniela Perrotta, et al.. (2017). Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model. Greenwich Academic Literature Archive (University of Greenwich). 311–319. 46 indexed citations
19.
Perrotta, Daniela, Antonino Bella, Caterina Rizzo, & Daniela Paolotti. (2017). Participatory Online Surveillance as a Supplementary Tool to Sentinel Doctors for Influenza-Like Illness Surveillance in Italy. PLoS ONE. 12(1). e0169801–e0169801. 37 indexed citations
20.
Canteros, Cristina Elena, et al.. (2004). [Malassezia species isolated from skin diseases in a care center in the city of Buenos Aires, Argentina].. PubMed. 35(3). 156–61. 3 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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