Stefano Ferretti

289 total papers · 3.2k total citations
155 papers, 1.9k citations indexed

About

Stefano Ferretti is a scholar working on Computer Networks and Communications, Information Systems and Sociology and Political Science. According to data from OpenAlex, Stefano Ferretti has authored 155 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Networks and Communications, 37 papers in Information Systems and 28 papers in Sociology and Political Science. Recurrent topics in Stefano Ferretti's work include Peer-to-Peer Network Technologies (45 papers), Blockchain Technology Applications and Security (24 papers) and Caching and Content Delivery (22 papers). Stefano Ferretti is often cited by papers focused on Peer-to-Peer Network Technologies (45 papers), Blockchain Technology Applications and Security (24 papers) and Caching and Content Delivery (22 papers). Stefano Ferretti collaborates with scholars based in Italy, Spain and United States. Stefano Ferretti's co-authors include Marco Roccetti, Gabriele D’Angelo, Claudio E. Palazzi, Paola Salomoni, Silvia Mirri, Vittorio Ghini, Fabio Panzieri, Catia Prandi, Mário Gerla and Giovanni Pau and has published in prestigious journals such as Nature Communications, Scientific Reports and Communications of the ACM.

In The Last Decade

Stefano Ferretti

140 papers receiving 1.8k citations

Author Peers

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

Author						Papers	Cites
Stefano Ferretti	862	504	359	241	240	155	1.9k
Meng Chang Chen	801 0.9×	579 1.1×	392 1.1×	227 0.9×	466 1.9×	132	2.0k
Aaron Striegel	719 0.8×	233 0.5×	430 1.2×	192 0.8×	327 1.4×	124	1.9k
George Roussos	591 0.7×	410 0.8×	268 0.7×	208 0.9×	162 0.7×	109	1.9k
Nishanth Sastry	1.2k 1.4×	346 0.7×	466 1.3×	285 1.2×	449 1.9×	131	2.2k
Yufeng Wang	512 0.6×	277 0.5×	386 1.1×	156 0.6×	500 2.1×	153	1.8k
Pan Hui	681 0.8×	334 0.7×	357 1.0×	166 0.7×	392 1.6×	171	2.2k
Meng Han	495 0.6×	706 1.4×	137 0.4×	165 0.7×	522 2.2×	156	1.7k
Shivakant Mishra	1.1k 1.2×	448 0.9×	202 0.6×	165 0.7×	704 2.9×	111	2.0k
Guisheng Yin	797 0.9×	584 1.2×	287 0.8×	160 0.7×	679 2.8×	163	1.9k
De-Nian Yang	770 0.9×	266 0.5×	418 1.2×	145 0.6×	358 1.5×	172	2.0k

Countries citing papers authored by Stefano Ferretti

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Ferretti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Ferretti

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