Fabio Massacci

7.3k citations
229 papers · 3.3k · 1 hit paper · h-index 31

Impact in

  • Software top 1%
    • Software Reliability and Analysis Research
    • Information and Cyber Security
    • Software Engineering Research

Papers in

Fabio Massacci

210 papers receiving 3.0k citations

Fabio Massacci's Hit Papers

A survey of autonomic communications 2006 · 382 citations
3820+6+13Years since publication100200300

Peers

Fabio Massacci
Comparison fields: 5 of 98
  • Software 542
  • Information Systems 2.0k
  • Signal Processing 797
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 1.3k
Replace Matt Bishop with:
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Alexander Pretschner Germany
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Prateek Saxena Singapore
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Fabio Massacci relative to Matt Bishop United States Matt Bishop's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fabio Massacci

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Massacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey of autonomic communications
Hit paper breakdown →
2006382
2 2005128
3 2014124
4 201973
5 200567
6 200667
7 201566
8 201864
9 202061
10 201757
11 200050
12 200349
13 200047
14 200445
15 202144
16 200042
17 201240
18 201339
19 201538
20 200738

About Fabio Massacci

Fabio Massacci is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science and Signal Processing, having authored 229 papers that have together received 3.3k indexed citations. Recurring topics across this work include Information and Cyber Security (64 papers), Advanced Malware Detection Techniques (49 papers), Security and Verification in Computing (49 papers), Access Control and Trust (44 papers), Software Engineering Research (40 papers), Software Reliability and Analysis Research (25 papers), Cryptography and Data Security (20 papers) and Network Security and Intrusion Detection (16 papers). The work is most often cited by research in Software (542 citations), Information Systems (2.0k citations), Signal Processing (797 citations), Computer Networks and Communications (1.3k citations) and Artificial Intelligence (1.3k citations). Fabio Massacci has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Luca Allodi, Nicola Zannone, John Mylopoulos, Ivan Pashchenko, Paolo Giorgini, Duc‐Ly Vu, Viet Hung Nguyen, Hristo Koshutanski, Antonino Sabetta and Giampaolo Bella. Their work appears in journals such as IEEE Security & Privacy, Empirical Software Engineering, Computers & Security, Risk Analysis and International Journal of Information 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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