Davide Ariu

1.3k citations
19 papers · 769 · h-index 13

Impact in

Papers in

Davide Ariu

18 papers receiving 724 citations

Peers

Davide Ariu
Comparison fields: 5 of 47
  • Signal Processing 519
  • Computer Networks and Communications 572
  • Software 81
  • Artificial Intelligence 444
  • Information Systems 262
Replace Blake Anderson with:
Blake Anderson United States
Igino Corona Italy
Prahlad Fogla United States
Xiaokui Shu United States
Purui Su China
Paolo Milani Comparetti Austria
Zheng Leong Chua Singapore
Juraj Somorovsky Germany
Fredrik Valeur United States
Daniel Gibert Spain
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Citations per field
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Citations per year

Countries citing papers authored by Davide Ariu

Since Specialization
Citations

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

Fields of papers citing papers by Davide Ariu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davide Ariu, 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 Davide Ariu Line = papers co-authored together Davide Ariu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2008180
2 2015117
3 201179
4 201475
5 201369
6 201244
7 201442
8 201530
9 200929
10 201526
11 201522
12 201114
13 201614
14 20179
15 20146
16
HMMPayl: an application of HMM to the analysis of the HTTP Payload
20106
17 20155
18
Machine Learning in Security Applications
20152
19 20250

About Davide Ariu

Davide Ariu is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Sociology and Political Science, having authored 19 papers that have together received 769 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (13 papers), Spam and Phishing Detection (7 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Information and Cyber Security (2 papers), Cybercrime and Law Enforcement Studies (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Privacy, Security, and Data Protection (2 papers). The work is most often cited by research in Signal Processing (519 citations), Computer Networks and Communications (572 citations), Software (81 citations), Artificial Intelligence (444 citations) and Information Systems (262 citations). Davide Ariu has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giorgio Giacinto, Igino Corona, Roberto Perdisci, Davide Maiorca, Wenke Lee, Prahlad Fogla, Fabio Roli, Roberto Tronci, Battista Biggio and Samuel Rota Bulò. Their work appears in journals such as Computers & Security, Computer Networks, IEEE Transactions on Information Forensics and Security, UNICA IRIS Institutional Research Information System (University of Cagliari) and SSRN Electronic Journal.

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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