Luca Compagna

2.9k citations
25 papers · 534 indexed · h-index 13

Impact in

Papers in

Luca Compagna

23 papers receiving 497 citations

Peers

Luca Compagna
Comparison fields: 5 of 38
  • Information Systems 395
  • Computer Networks and Communications 320
  • Software 46
  • Signal Processing 94
  • Artificial Intelligence 209
Replace Roberto Carbone with:
Roberto Carbone Italy
Jeremy Jacob United Kingdom
Jorge Cuéllar Germany
Eric Yuan United States
Claudiu Duma Sweden
Ricardo Corin Netherlands
Véronique Cortier France
Stéphanie Delaune France
Guy-Vincent Jourdan Canada
Michele Bugliesi Italy
Luca Compagna relative to Roberto Carbone Italy Roberto Carbone's profile →
Citations per field
00.5×1.5×
Roberto Carbone · 1×
Citations per year

Countries citing papers authored by Luca Compagna

Since Specialization
Citations

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

Fields of papers citing papers by Luca Compagna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008112
2
A High Level Protocol Specification Language for Industrial Security-Sensitive Protocols
200490
3 200746
4 201241
5 200831
6 201623
7 200522
8 201721
9 200920
10 201520
11 200720
12 201016
13 202212
14 201011
15
SAT-based Model-Checking of Security Protocols
200511
16 20138
17 20227
18 20176
19 20176
20 20115

About Luca Compagna

Luca Compagna is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Sociology and Political Science and Signal Processing, having authored 25 papers that have together received 534 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (10 papers), Web Application Security Vulnerabilities (9 papers), Advanced Malware Detection Techniques (7 papers), Security and Verification in Computing (7 papers), Access Control and Trust (6 papers), Formal Methods in Verification (6 papers), User Authentication and Security Systems (5 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Information Systems (395 citations), Computer Networks and Communications (320 citations), Software (46 citations), Signal Processing (94 citations) and Artificial Intelligence (209 citations). Luca Compagna has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Alessandro Armando, Roberto Carbone, Jorge Cuéllar, Llanos Tobarra, Paul Drielsma, Jacopo Mantovani, Laurent Vigneron, Yannick Chevalier, Giancarlo Pellegrino and Alessandro Sorniotti. Their work appears in journals such as International Journal of Information Security, Journal of Computer Security, Journal of Applied Non-Classical Logics, Artificial Intelligence and Law and Computers & Security.

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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