Antonio Nappa

994 citations
15 papers · 574 indexed · h-index 9

Antonio Nappa

15 papers receiving 549 citations

Peers

Antonio Nappa
Comparison fields: 5 of 46
  • Signal Processing 363
  • Software 71
  • Information Systems 370
  • Computer Networks and Communications 302
  • Artificial Intelligence 226
Replace Christian Wressnegger with:
Christian Wressnegger Germany
Tiffany Bao United States
Norbert Pohlmann Germany
Greg Hoglund United States
Simon P. Chung United States
Apostolis Zarras Germany
Sooel Son South Korea
Ryan Riley Qatar
Xiaorui Pan United States
Manuel Leithner Austria
Antonio Nappa relative to Christian Wressnegger Germany Christian Wressnegger's profile →
Citations per field
00.5×2.7×
Christian Wressnegger · 1×
Citations per year

Countries citing papers authored by Antonio Nappa

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Nappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20241
2 20247
3 20221
4 20214
5 202113
6 20164
7 201568
8 201597
9 201457
10 201424
11 201434
12 201412
13 2012140
14 2012108
15
Performance comparision of secure and insecure VoIP environments
20084

About Antonio Nappa

Antonio Nappa is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Media Technology, having authored 15 papers that have together received 574 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers), Spam and Phishing Detection (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Caching and Content Delivery (3 papers), Peer-to-Peer Network Technologies (2 papers), Web Application Security Vulnerabilities (2 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Signal Processing (363 citations), Software (71 citations), Information Systems (370 citations), Computer Networks and Communications (302 citations) and Artificial Intelligence (226 citations). Antonio Nappa has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Juan Caballero, M. Zubair Rafique, Gustavo Grieco, Mark Marron, Leyla Bilge, Tudor Dumitraş, Kurt Thomas, Chris Grier, Vern Paxson and Damon McCoy. Their work appears in journals such as IEEE Transactions on Network and Service Management, Ecological Informatics, International Journal of Information Security, Journal of Computer Security and Lirias (KU Leuven).

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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