Roberto Carbone

1.1k citations
42 papers · 450 indexed · h-index 11

Roberto Carbone

38 papers receiving 420 citations

Peers

Roberto Carbone
Comparison fields: 5 of 44
  • Information Systems 329
  • Signal Processing 118
  • Computer Networks and Communications 215
  • Software 30
  • Artificial Intelligence 176
Replace Luca Compagna with:
Luca Compagna Italy
Eric Yuan United States
Claudiu Duma Sweden
Ram Krishnan United States
Tan Soo Fun Malaysia
Ricardo Corin Netherlands
Giancarlo Pellegrino Germany
Leonard J. LaPadula United States
Guy-Vincent Jourdan Canada
Stefan Lindskog Sweden
Roberto Carbone relative to Luca Compagna Italy Luca Compagna's profile →
Citations per field
00.5×2.8×
Luca Compagna · 1×
Citations per year

Countries citing papers authored by Roberto Carbone

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Carbone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20240
5 20241
6 20231
7 20234
8 20232
9 202212
10 20222
11 20213
12 20216
13 20208
14 202042
15 20173
16 20163
17 20152
18 201241
19 20113
20 200217

About Roberto Carbone

Roberto Carbone is a scholar working on Information Systems, Signal Processing, Computer Networks and Communications, Software and Artificial Intelligence, having authored 42 papers that have together received 450 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (16 papers), Advanced Authentication Protocols Security (11 papers), User Authentication and Security Systems (11 papers), Security and Verification in Computing (11 papers), Web Application Security Vulnerabilities (9 papers), Access Control and Trust (8 papers), Cloud Data Security Solutions (6 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Information Systems (329 citations), Signal Processing (118 citations), Computer Networks and Communications (215 citations), Software (30 citations) and Artificial Intelligence (176 citations). Roberto Carbone has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Alessandro Armando, Luca Compagna, Jorge Cuéllar, Llanos Tobarra, Silvio Ranise, Gabriele Costa, Nicola Zannone, Giancarlo Pellegrino, Alessandro Sorniotti and Luca Deri. Their work appears in journals such as Computers & Security, ACM Transactions on Privacy and Security, Journal of Network and Computer Applications, Journal of Applied Non-Classical Logics and IEEE Security & Privacy.

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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