Gianni D’Angelo

1.8k citations
48 papers · 1.2k · h-index 22

Impact in

Papers in

    • Anomaly Detection Techniques and Applications 5
    • Internet Traffic Analysis and Secure E-voting 5
    • Privacy-Preserving Technologies in Data 4
    • Neural Networks and Applications 3
    • Network Security and Intrusion Detection 8
    • IoT and Edge/Fog Computing 3

Gianni D’Angelo

47 papers receiving 1.2k citations

Peers

Gianni D’Angelo
Comparison fields: 5 of 125
  • Signal Processing 253
  • Computer Networks and Communications 450
  • Health Informatics 24
  • Artificial Intelligence 529
  • Software 48
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Citations per field
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Citations per year

Countries citing papers authored by Gianni D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Gianni D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianni D’Angelo. 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 Gianni D’Angelo. The network helps show where Gianni D’Angelo may publish in the future.

Co-authors

The 25 scholars most cited alongside Gianni D’Angelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gianni D’Angelo Line = papers co-authored together Gianni D’Angelo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020135
2 2020110
3 201992
4 201976
5 201555
6 201653
7 202045
8 201842
9 202341
10 202340
11 202139
12 201638
13 201934
14 202230
15 202129
16 202128
17 201928
18 202024
19 202223
20 201623

About Gianni D’Angelo

Gianni D’Angelo is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Mechanical Engineering and Molecular Biology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (6 papers), Anomaly Detection Techniques and Applications (5 papers), Non-Destructive Testing Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Privacy-Preserving Technologies in Data (4 papers), IoT and Edge/Fog Computing (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Signal Processing (253 citations), Computer Networks and Communications (450 citations), Health Informatics (24 citations), Artificial Intelligence (529 citations) and Software (48 citations). Gianni D’Angelo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Francesco Palmieri, Salvatore Rampone, Massimo Ficco, Arcangelo Castiglione, Raffaele Pilla, Carlo Tascini, Marco Laracca, Massimo Tipaldi, G. Betta and Luigi Glielmo. Their work appears in journals such as Soft Computing, Information Sciences, Future Generation Computer Systems, Applied Soft Computing and Journal of Network and Computer Applications.

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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