Sergio Maffeis

2.2k citations
33 papers · 791 · h-index 15

Impact in

Papers in

    • Security and Verification in Computing 13
    • Logic, programming, and type systems 9
    • Adversarial Robustness in Machine Learning 3
    • Advanced Malware Detection Techniques 14

Sergio Maffeis

32 papers receiving 759 citations

Peers

Sergio Maffeis
Comparison fields: 5 of 37
  • Software 98
  • Signal Processing 245
  • Artificial Intelligence 590
  • Information Systems 351
  • Computer Networks and Communications 252
Replace Michael R. Clarkson with:
Michael R. Clarkson United States
David A. Naumann United States
Srinath Setty United States
Fausto Spoto Italy
Bernd Grobauer Denmark
Guy-Vincent Jourdan Canada
Joseph Gil Israel
Michele Bugliesi Italy
Sophia Drossopoulou United Kingdom
Iliano Cervesato United States
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Citations per field
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Michael R. Clarkson · 1×
Citations per year

Countries citing papers authored by Sergio Maffeis

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Maffeis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Sergio Maffeis, 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 Sergio Maffeis Line = papers co-authored together Sergio Maffeis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201195
2 202272
3 201067
4
20th IEEE Computer Security Foundations Symposium, CSF 2007, 6-8 July 2007, Venice, Italy
200761
5 200959
6 200849
7 200247
8 201446
9 200737
10 201432
11 201231
12 201230
13 202023
14 200422
15 201921
16 201514
17 200713
18 200512
19 201811
20 20039

About Sergio Maffeis

Sergio Maffeis is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Computational Theory and Mathematics, having authored 33 papers that have together received 791 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (14 papers), Security and Verification in Computing (13 papers), Logic, programming, and type systems (9 papers), Web Application Security Vulnerabilities (7 papers), Software Engineering Research (4 papers), Distributed systems and fault tolerance (4 papers), Formal Methods in Verification (4 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Software (98 citations), Signal Processing (245 citations), Artificial Intelligence (590 citations), Information Systems (351 citations) and Computer Networks and Communications (252 citations). Sergio Maffeis has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Cédric Fournet, Ankur Taly, Andrew Gordon, Karthikeyan Bhargavan, Philippa Gardner, Jesper Bengtson, Marco Carbone, Andrew D. Gordon, John C. Mitchell and Iain Phillips. Their work appears in journals such as Theoretical Computer Science, ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Journal of Computer Security 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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