Alberto Caponi

34 total papers · 704 total citations
20 papers, 476 citations indexed

About

Alberto Caponi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Alberto Caponi has authored 20 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Alberto Caponi's work include Internet Traffic Analysis and Secure E-voting (8 papers), Network Security and Intrusion Detection (6 papers) and Caching and Content Delivery (4 papers). Alberto Caponi is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (8 papers), Network Security and Intrusion Detection (6 papers) and Caching and Content Delivery (4 papers). Alberto Caponi collaborates with scholars based in Italy, Cyprus and Greece. Alberto Caponi's co-authors include Giuseppe Bianchi, Andrea Detti, Nicola Bléfari-Melazzi, Tooska Dargahi, Mauro Conti, Francesca Cuomo, Moreno Ambrosin, Pierpaolo Loreti, Pietro Russo and Lorenzo Bracciale and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, ACM SIGCOMM Computer Communication Review and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Alberto Caponi

19 papers receiving 468 citations

Author Peers

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

Author Last Decade Papers Cites
Alberto Caponi 390 203 64 61 58 20 476
Yujie Zhu 327 0.8× 211 1.0× 84 1.3× 83 1.4× 42 0.7× 19 484
Hao Liu 309 0.8× 202 1.0× 57 0.9× 189 3.1× 45 0.8× 33 543
Shimaa A. Abdel Hakeem 260 0.7× 330 1.6× 58 0.9× 93 1.5× 43 0.7× 13 481
Muhammad Hanif 325 0.8× 318 1.6× 136 2.1× 14 0.2× 36 0.6× 36 472
Muhammad Atif Ur Rehman 340 0.9× 137 0.7× 41 0.6× 59 1.0× 14 0.2× 33 440
Yawen Wei 414 1.1× 277 1.4× 94 1.5× 80 1.3× 33 0.6× 19 546
Wenwei Xue 367 0.9× 95 0.5× 71 1.1× 78 1.3× 27 0.5× 28 501
Yixuan Wang 334 0.9× 164 0.8× 103 1.6× 76 1.2× 19 0.3× 15 475
Juan Carlos Zúñiga 381 1.0× 311 1.5× 31 0.5× 24 0.4× 26 0.4× 24 488
Hariharasudhan Viswanathan 371 1.0× 134 0.7× 37 0.6× 235 3.9× 44 0.8× 25 473

Countries citing papers authored by Alberto Caponi

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Caponi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Caponi

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