Nicolò Gozzi

837 total citations
18 papers, 383 citations indexed

About

Nicolò Gozzi is a scholar working on Modeling and Simulation, Health and Epidemiology. According to data from OpenAlex, Nicolò Gozzi has authored 18 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 4 papers in Health and 4 papers in Epidemiology. Recurrent topics in Nicolò Gozzi's work include COVID-19 epidemiological studies (12 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Influenza Virus Research Studies (3 papers). Nicolò Gozzi is often cited by papers focused on COVID-19 epidemiological studies (12 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Influenza Virus Research Studies (3 papers). Nicolò Gozzi collaborates with scholars based in United Kingdom, Italy and United States. Nicolò Gozzi's co-authors include Nicola Perra, Matteo Chinazzi, Alessandro Vespignani, Daniela Paolotti, Paolo Bajardi, Michele Tizzoni, Leo Ferres, Fabio Ciulla, André Panisson and Michele Starnini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and BMC Public Health.

In The Last Decade

Nicolò Gozzi

15 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolò Gozzi United Kingdom	8	199	94	89	80	66	18	383
Baltazar Espinoza United States	10	200 1.0×	140 1.5×	63 0.7×	95 1.2×	62 0.9×	24	418
Anjalika Nande United States	8	188 0.9×	37 0.4×	68 0.8×	141 1.8×	73 1.1×	10	428
Sara Y. Del Valle United States	6	280 1.4×	55 0.6×	53 0.6×	81 1.0×	75 1.1×	6	461
Hu Min China	6	259 1.3×	82 0.9×	39 0.4×	90 1.1×	55 0.8×	20	491
Daniela Perrotta United Kingdom	12	181 0.9×	83 0.9×	75 0.8×	32 0.4×	40 0.6×	21	436
James Wambua Belgium	9	266 1.3×	36 0.4×	55 0.6×	80 1.0×	69 1.0×	13	323
Kim Van Kerckhove Belgium	9	252 1.3×	35 0.4×	70 0.8×	67 0.8×	43 0.7×	14	382
Vivian Wan In Wei Hong Kong	7	202 1.0×	35 0.4×	50 0.6×	81 1.0×	46 0.7×	9	320
Jonas Dehning Germany	6	459 2.3×	52 0.6×	45 0.5×	143 1.8×	174 2.6×	10	605
Thang Van Hoang Belgium	5	180 0.9×	35 0.4×	30 0.3×	46 0.6×	59 0.9×	9	228

Countries citing papers authored by Nicolò Gozzi

Since Specialization

Citations

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

Fields of papers citing papers by Nicolò Gozzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolò Gozzi

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

All Works

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18 of 18 papers shown

Gozzi, Nicolò, et al.. (2025). Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile. PLoS Computational Biology. 21(2). e1012802–e1012802.

Kelley, Kathleen, et al.. (2025). Exploring influenza vaccination determinants through digital participatory surveillance. BMC Public Health. 25(1). 1345–1345. 1 indexed citations

Gozzi, Nicolò, Nicola Perra, & Alessandro Vespignani. (2025). Comparative evaluation of behavioral epidemic models using COVID-19 data. Proceedings of the National Academy of Sciences. 122(24). e2421993122–e2421993122. 1 indexed citations

Gozzi, Nicolò, et al.. (2024). Bridging the digital divide: mapping Internet connectivity evolution, inequalities, and resilience in six Brazilian cities. EPJ Data Science. 13(1).

Gozzi, Nicolò, et al.. (2024). Modeling teams performance using deep representational learning on graphs. EPJ Data Science. 13(1).

Gozzi, Nicolò, Matteo Chinazzi, Jessica T. Davis, et al.. (2024). Real-time estimates of the emergence and dynamics of SARS-CoV-2 variants of concern: A modeling approach. Epidemics. 49. 100805–100805. 1 indexed citations

Chinazzi, Matteo, Jessica T. Davis, Ana Pastore y Piontti, et al.. (2024). A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US. Epidemics. 47. 100757–100757. 5 indexed citations

Gozzi, Nicolò, Matteo Chinazzi, Natalie E. Dean, et al.. (2023). Estimating the impact of COVID-19 vaccine inequities: a modeling study. Nature Communications. 14(1). 3272–3272. 51 indexed citations

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

10.

Gozzi, Nicolò, et al.. (2023). The adoption of non-pharmaceutical interventions and the role of digital infrastructure during the COVID-19 pandemic in Colombia, Ecuador, and El Salvador. EPJ Data Science. 12(1). 18–18. 3 indexed citations

11.

Gozzi, Nicolò, et al.. (2023). Modeling self-propagating malware with epidemiological models. Applied Network Science. 8(1). 7 indexed citations

12.

Gozzi, Nicolò, Matteo Chinazzi, Jessica T. Davis, et al.. (2022). Anatomy of the first six months of COVID-19 vaccination campaign in Italy. PLoS Computational Biology. 18(5). e1010146–e1010146. 12 indexed citations

13.

Gozzi, Nicolò, Michele Tizzoni, Matteo Chinazzi, et al.. (2021). Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile. Nature Communications. 12(1). 2429–2429. 103 indexed citations

14.

Gozzi, Nicolò, et al.. (2021). Self-initiated behavioral change and disease resurgence on activity-driven networks. Physical review. E. 104(1). 14307–14307. 14 indexed citations

15.

Gozzi, Nicolò, Paolo Bajardi, & Nicola Perra. (2021). The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout. PLoS Computational Biology. 17(9). e1009346–e1009346. 60 indexed citations

16.

Gozzi, Nicolò, Michele Tizzoni, Matteo Chinazzi, et al.. (2021). Code for the paper "Estimating the effect of social inequalities in the mitigation of COVID-19 across communities in Santiago de Chile". Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

17.

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

18.

Gozzi, Nicolò, Michele Tizzani, Michele Starnini, et al.. (2020). Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis. Journal of Medical Internet Research. 22(10). e21597–e21597. 94 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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