Sergio Maffeis
Impact in
- Software top 5%
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Advanced Malware Detection Techniques 13
-
- Security and Verification in Computing 13
- Logic, programming, and type systems 9
- Co-authors
- Cédric FournetAnkur TalyAndrew GordonKarthikeyan BhargavanPhilippa GardnerJesper BengtsonMarco CarboneAndrew D. Gordon
- Journals
- ACM SIGPLAN Notices (2 papers)Theoretical Computer Science (2 papers)ACM Transactions on Programming Languages and Systems (2 papers)Journal of Computer Security (1 paper)Information and Computation (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Sergio Maffeis
32 papers receiving 739 citations
Peers
Comparison fields: 5 of 37
- Software 94
- Signal Processing 240
- Artificial Intelligence 584
- Information Systems 346
- Computer Networks and Communications 249
Countries citing papers authored by Sergio Maffeis
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2021 | 8 | |
| 3 | 2020 | 22 | |
| 4 | INVITED: Adversarial Machine Learning Beyond the Image Domain | 2019 | 2 |
| 5 | 2019 | 20 | |
| 6 | 2018 | 11 | |
| 7 | 2017 | 6 | |
| 8 | 2014 | 5 | |
| 9 | 2014 | 30 | |
| 10 | 2013 | 1 | |
| 11 | 2010 | 67 | |
| 12 | 2009 | 59 | |
| 13 | 2008 | 4 | |
| 14 | 2007 | 13 | |
| 15 | 2007 | 37 | |
| 16 | 2005 | 10 | |
| 17 | 2005 | 2 | |
| 18 | 2004 | 22 | |
| 19 | 2004 | 3 | |
| 20 | 2003 | 9 |
About Sergio Maffeis
Sergio Maffeis is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Computational Theory and Mathematics, having authored 32 papers that have together received 771 indexed citations. Recurring topics across this work include Security and Verification in Computing (13 papers), Advanced Malware Detection Techniques (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 Access Control and Trust (3 papers). The work is most often cited by research in Software (94 citations), Signal Processing (240 citations), Artificial Intelligence (584 citations), Information Systems (346 citations) and Computer Networks and Communications (249 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 ACM SIGPLAN Notices, Theoretical Computer Science, 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.