Pasquale Malacaria

2.5k citations
71 papers · 1.8k · h-index 22

Impact in

Papers in

Pasquale Malacaria

68 papers receiving 1.7k citations

Peers

Pasquale Malacaria
Comparison fields: 5 of 65
  • Signal Processing 756
  • Software 165
  • Artificial Intelligence 1.2k
  • Computer Networks and Communications 750
  • Information Systems 551
Replace Jordi Planes with:
Jordi Planes Spain
Daniel M. Yellin United States
Stephen Chong United States
Jingde Cheng Japan
Lynn Batten Australia
Edward L. Wimmers United States
Silvio Ranise Italy
Nina Narodytska Australia
Michael B. Greenwald United States
Jörg Schwenk Germany
Pasquale Malacaria relative to Jordi Planes Spain Jordi Planes's profile →
Citations per field
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Jordi Planes · 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-authors

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

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016183
2 2007132
3 2002128
4 2007111
5 201088
6 199487
7 200773
8 200568
9 201663
10 201961
11 201450
12 200849
13 201244
14 201739
15 201438
16 201437
17 202130
18 202230
19 200729
20 201427

About Pasquale Malacaria

Pasquale Malacaria is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Security and Verification in Computing (31 papers), Advanced Malware Detection Techniques (28 papers), Network Security and Intrusion Detection (25 papers), Information and Cyber Security (13 papers), Logic, programming, and type systems (11 papers), Cryptographic Implementations and Security (8 papers), Formal Methods in Verification (7 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Signal Processing (756 citations), Software (165 citations), Artificial Intelligence (1.2k citations), Computer Networks and Communications (750 citations) and Information Systems (551 citations). Pasquale Malacaria has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David Clark, Sebastian Hunt, Chris Hankin, Quoc-Sang Phan, Fabrizio Smeraldi, M. H. R. Khouzani, Emmanouil Panaousis, Corina S. Păsăreanu, Andrew Fielder and Samson Abramsky. Their work appears in journals such as Computers & Security, Theoretical Computer Science, Decision Support Systems, Information and Computation and Journal of Computer 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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