Stefano Galzarano

41 total papers · 779 total citations
17 papers, 507 citations indexed

About

Stefano Galzarano is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Stefano Galzarano has authored 17 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Biomedical Engineering. Recurrent topics in Stefano Galzarano's work include Energy Efficient Wireless Sensor Networks (13 papers), Context-Aware Activity Recognition Systems (11 papers) and Wireless Body Area Networks (9 papers). Stefano Galzarano is often cited by papers focused on Energy Efficient Wireless Sensor Networks (13 papers), Context-Aware Activity Recognition Systems (11 papers) and Wireless Body Area Networks (9 papers). Stefano Galzarano collaborates with scholars based in Italy, Netherlands and China. Stefano Galzarano's co-authors include Giancarlo Fortino, Raffaele Gravina, Wenfeng Li, Antonio Liotta, Roberta Giannantonio, Marco Sgroi, Roozbeh Jafari, Vitali Loseu, Francesco Aiello and Fabio Bellifemine and has published in prestigious journals such as Information Fusion, IEEE Sensors Journal and Engineering Applications of Artificial Intelligence.

In The Last Decade

Stefano Galzarano

17 papers receiving 488 citations

Author Peers

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

Author Last Decade Papers Cites
Stefano Galzarano 262 222 200 100 57 17 507
Philip Kuryloski 268 1.0× 298 1.3× 252 1.3× 93 0.9× 48 0.8× 10 550
Young‐Dong Lee 196 0.7× 311 1.4× 131 0.7× 110 1.1× 24 0.4× 29 516
Lei Fang 374 1.4× 169 0.8× 273 1.4× 128 1.3× 120 2.1× 19 612
Marco Bassoli 148 0.6× 138 0.6× 241 1.2× 121 1.2× 78 1.4× 8 450
Qingquan Sun 143 0.5× 82 0.4× 168 0.8× 167 1.7× 92 1.6× 34 464
Zhenhua Jia 126 0.5× 147 0.7× 163 0.8× 97 1.0× 49 0.9× 29 456
Simone Valenti 110 0.4× 227 1.0× 264 1.3× 93 0.9× 69 1.2× 25 505
Soumen Moulik 260 1.0× 191 0.9× 102 0.5× 98 1.0× 95 1.7× 38 484
Luca Pernini 97 0.4× 248 1.1× 277 1.4× 80 0.8× 53 0.9× 14 487
Rony Darazi 129 0.5× 195 0.9× 260 1.3× 66 0.7× 71 1.2× 26 468

Countries citing papers authored by Stefano Galzarano

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Galzarano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Galzarano

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Galzarano. A scholar is included among the top collaborators of Stefano Galzarano 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 Stefano Galzarano. Stefano Galzarano 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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