Sabrina Gaito

1.8k total citations
103 papers, 1.1k citations indexed

About

Sabrina Gaito is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Transportation. According to data from OpenAlex, Sabrina Gaito has authored 103 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 36 papers in Statistical and Nonlinear Physics and 33 papers in Transportation. Recurrent topics in Sabrina Gaito's work include Complex Network Analysis Techniques (36 papers), Human Mobility and Location-Based Analysis (33 papers) and Opportunistic and Delay-Tolerant Networks (26 papers). Sabrina Gaito is often cited by papers focused on Complex Network Analysis Techniques (36 papers), Human Mobility and Location-Based Analysis (33 papers) and Opportunistic and Delay-Tolerant Networks (26 papers). Sabrina Gaito collaborates with scholars based in Italy, France and United States. Sabrina Gaito's co-authors include Matteo Zignani, Gian Paolo Rossi, Elena Pagani, Christian Quadri, G. Benedek, Alessandra Sala, Anna Maria Zanaboni, Dario Malchiodi, Ben Y. Zhao and Bruno Apolloni and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

Sabrina Gaito

99 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabrina Gaito Italy 21 338 251 228 149 127 103 1.1k
Feng Chen United States 17 122 0.4× 156 0.6× 208 0.9× 534 3.6× 66 0.5× 93 1.3k
Zhijun Yin United States 18 136 0.4× 204 0.8× 421 1.8× 636 4.3× 142 1.1× 66 1.5k
Giacomo Fiumara Italy 20 175 0.5× 45 0.2× 467 2.0× 403 2.7× 217 1.7× 57 1.4k
Xiao-Pu Han China 15 72 0.2× 296 1.2× 364 1.6× 47 0.3× 123 1.0× 44 851
Louis Shekhtman United States 16 109 0.3× 45 0.2× 485 2.1× 97 0.7× 221 1.7× 41 1.0k
Shi‐Min Cai China 18 165 0.5× 92 0.4× 822 3.6× 169 1.1× 154 1.2× 113 1.3k
Chris J. Kuhlman United States 15 56 0.2× 30 0.1× 250 1.1× 70 0.5× 87 0.7× 76 587
Chloë Brown United Kingdom 14 45 0.1× 81 0.3× 98 0.4× 109 0.7× 34 0.3× 41 783
Kristin M. Tolle United States 10 148 0.4× 32 0.1× 31 0.1× 216 1.4× 54 0.4× 16 1.1k
André Panisson Italy 15 144 0.4× 129 0.5× 187 0.8× 143 1.0× 148 1.2× 35 730

Countries citing papers authored by Sabrina Gaito

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina Gaito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Gaito

This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Gaito. A scholar is included among the top collaborators of Sabrina Gaito 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 Sabrina Gaito. Sabrina Gaito 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.
Zignani, Matteo, et al.. (2025). Characterizing NFT Markets through a Multilayer Network Approach. Blockchain Research and Applications. 100356–100356.
2.
Interdonato, Roberto, et al.. (2024). MARA: A deep learning based framework for multilayer graph simplification. Neurocomputing. 612. 128712–128712. 2 indexed citations
3.
Zignani, Matteo, et al.. (2024). Analyzing User Migration in Blockchain Online Social Networks through Network Structure and Discussion Topics of Communities on Multilayer Networks. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 4(2). 1–19. 2 indexed citations
4.
Ricci, Laura, Barbara Guidi, Andrea Michienzi, Andrea Tagarelli, & Sabrina Gaito. (2024). AWESOME: Analysis framework for WEb3 SOcial MEdia. CINECA IRIS Institutial research information system (University of Pisa). 41–47. 1 indexed citations
5.
Bourgoin, Jérémy, et al.. (2024). Mining resources, the inconvenient truth of the “ecological” transition. World Development Perspectives. 35. 100615–100615. 2 indexed citations
6.
Zignani, Matteo, et al.. (2023). Temporal graph learning for dynamic link prediction with text in online social networks. Machine Learning. 113(4). 2207–2226. 7 indexed citations
7.
Zignani, Matteo, et al.. (2023). User migration prediction in blockchain socioeconomic networks using graph neural networks. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 333–341. 2 indexed citations
8.
Zignani, Matteo, et al.. (2022). The role of cryptocurrency in the dynamics of blockchain-based social networks: The case of Steemit. PLoS ONE. 17(6). e0267612–e0267612. 21 indexed citations
9.
Michienzi, Andrea, et al.. (2022). Fork-based user migration in Blockchain Online Social Media. CINECA IRIS Institutial research information system (University of Pisa). 174–184. 15 indexed citations
10.
Micheletti, Alessandra, Matteo Zignani, Alessandro Comunian, et al.. (2021). CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region. PLoS ONE. 16(2). e0247854–e0247854. 13 indexed citations
11.
Damiani, Maria Luisa, et al.. (2020). On Location Relevance and Diversity in Human Mobility Data. ACM Transactions on Spatial Algorithms and Systems. 7(2). 1–38. 9 indexed citations
12.
Zignani, Matteo, et al.. (2019). Mastodon Content Warnings: Inappropriate Contents in a Microblogging Platform. Proceedings of the International AAAI Conference on Web and Social Media. 13. 639–645. 12 indexed citations
13.
Papandrea, Michela, et al.. (2016). On the properties of human mobility. Computer Communications. 87. 19–36. 45 indexed citations
14.
Zignani, Matteo, et al.. (2016). User identification across online social networks in practice: Pitfalls and solutions. Journal of Information Science. 44(3). 377–391. 5 indexed citations
15.
Nika, Ana, et al.. (2015). Understanding and Predicting Data Hotspots in Cellular Networks. Mobile Networks and Applications. 21(3). 402–413. 11 indexed citations
16.
Quadri, Christian, Matteo Zignani, Lorenzo Capra, Sabrina Gaito, & Gian Paolo Rossi. (2014). Multidimensional Human Dynamics in Mobile Phone Communications. PLoS ONE. 9(7). e103183–e103183. 22 indexed citations
17.
Cozzolino, Mario, Maurizio Gallieni, Angelo Del Sole, et al.. (2013). Evaluation of renal function in elderly patients. Nuclear Medicine Communications. 35(4). 416–422. 10 indexed citations
18.
Aliberti, Stefano, Francesco Blasi, Anna Maria Zanaboni, et al.. (2009). Duration of antibiotic therapy in hospitalised patients with community-acquired pneumonia. European Respiratory Journal. 36(1). 128–134. 48 indexed citations
19.
Apolloni, Bruno, Simone Bassis, Alberto Clivio, Sabrina Gaito, & Dario Malchiodi. (2007). Modeling individual’s aging within a bacterial population using a pi-calculus paradigm. Natural Computing. 6(1). 33–53.
20.
Rosato, Vittorio, Massimo Celino, G. Benedek, & Sabrina Gaito. (1999). Thermodynamic behavior of the carbon schwarzite fcc(C36)2. Physical review. B, Condensed matter. 60(24). 16928–16933. 31 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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