Pasquale Malacaria

2.5k citations
56 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Pasquale Malacaria

52 papers receiving 1.1k citations

Peers

Pasquale Malacaria
Comparison fields: 5 of 60
  • Signal Processing 521
  • Software 104
  • Artificial Intelligence 723
  • Computer Networks and Communications 488
  • Information Systems 376
Replace Michael B. Greenwald with:
Michael B. Greenwald United States
Samik Basu United States
Petar Tsankov Switzerland
Sal Stolfo United States
Natalia Stakhanova Canada
Dana Drachsler-Cohen Switzerland
Daniel M. Yellin United States
Mariano P. Consens Canada
Karthikeyan Bhargavan United Kingdom
Wei You China
Pasquale Malacaria relative to Michael B. Greenwald United States Michael B. Greenwald's profile →
Citations per field
00.5×4.1×
Michael B. Greenwald · 1×
Citations per year

Countries citing papers authored by Pasquale Malacaria

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale Malacaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20235
3 202211
4 20218
5 20207
6 20191
7 20177
8 201650
9 20155
10 201413
11 20133
12 20106
13 200912
14 200833
15 200778
16
Quantified Interference: Information Theory and Information Flow
20044
17 20043
18 20020
19 20000
20 19951

About Pasquale Malacaria

Pasquale Malacaria is a scholar working on Signal Processing, Software, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Security and Verification in Computing (26 papers), Advanced Malware Detection Techniques (24 papers), Network Security and Intrusion Detection (19 papers), Information and Cyber Security (11 papers), Cryptographic Implementations and Security (8 papers), Logic, programming, and type systems (7 papers), Cryptography and Data Security (5 papers) and Software Reliability and Analysis Research (4 papers). The work is most often cited by research in Signal Processing (521 citations), Software (104 citations), Artificial Intelligence (723 citations), Computer Networks and Communications (488 citations) and Information Systems (376 citations). Pasquale Malacaria has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David Clark, Sebastian Hunt, Quoc-Sang Phan, Chris Hankin, M. H. R. Khouzani, Fabrizio Smeraldi, Corina S. Păsăreanu, Emmanouil Panaousis, Andrew Fielder and Zhengliang Liu. Their work appears in journals such as Computers & Security, Theoretical Computer Science, Journal of Computer Security, Decision Support Systems and Information and Computation.

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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