Luca Allodi

1.2k citations
47 papers · 542 · h-index 13

Impact in

    • Information and Cyber Security
    • Spam and Phishing Detection
    • Cybercrime and Law Enforcement Studies
    • Software Engineering Research
  • Software top 5%
    • Software Reliability and Analysis Research

Papers in

Luca Allodi

43 papers receiving 511 citations

Peers

Luca Allodi
Comparison fields: 5 of 45
  • Information Systems 447
  • Software 69
  • Signal Processing 181
  • Computer Networks and Communications 220
  • Artificial Intelligence 96
Replace Steve Lipner with:
Steve Lipner United States
Daniel Mellado Spain
Sean Barnum United States
Koen Yskout Belgium
Howard Chivers United Kingdom
Apostolis Zarras Germany
Giancarlo Pellegrino Germany
Luca Verderame Italy
Tiffany Bao United States
Paul Pearce United States
Luca Allodi relative to Steve Lipner United States Steve Lipner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Luca Allodi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Allodi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Luca Allodi, 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 Allodi Line = papers co-authored together Luca Allodi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014124
2 201757
3 201240
4 201931
5 202022
6 201321
7 202018
8 202118
9 201518
10
MalwareLab: Experimentation with Cybercrime Attack Tools.
201316
11 202316
12 202114
13 202014
14 202312
15
Cognitive triaging of phishing attacks
201911
16 202211
17 201910
18 20219
19 20199
20 20188

About Luca Allodi

Luca Allodi is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Sociology and Political Science and Artificial Intelligence, having authored 47 papers that have together received 542 indexed citations. Recurring topics across this work include Spam and Phishing Detection (22 papers), Information and Cyber Security (20 papers), Network Security and Intrusion Detection (15 papers), Advanced Malware Detection Techniques (12 papers), Cybercrime and Law Enforcement Studies (10 papers), Misinformation and Its Impacts (7 papers), Smart Grid Security and Resilience (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Information Systems (447 citations), Software (69 citations), Signal Processing (181 citations), Computer Networks and Communications (220 citations) and Artificial Intelligence (96 citations). Luca Allodi has collaborated with scholars based in Netherlands, Italy and Germany. Frequent co-authors include Fabio Massacci, Nicola Zannone, Marco Cremonini, E. K. Panina, Julian Williams, Amber van der Heijden, Marco Corradin, Roland van Rijswijk-Deij, Thijs van Ede and Savio Sciancalepore. Their work appears in journals such as Risk Analysis, Empirical Software Engineering, IEEE Transactions on Emerging Topics in Computing, ACM Transactions on Information and System Security 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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