Mathias Payer
Impact in
- Signal Processing top 0.2%
- Advanced Malware Detection Techniques
- Software top 0.5%
- Software Testing and Debugging Techniques
Papers in
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- Security and Verification in Computing 69
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- Advanced Malware Detection Techniques 78
- Co-authors
- Dawn Song (7 shared papers)László Szekeres (4 shared papers)Thomas Groß (16 shared papers)Tao Wei (1 shared paper)Hui Peng (5 shared papers)Nathan Burow (8 shared papers)Antonio Barresi (5 shared papers)R. Sekar (3 shared papers)
- Journals
- ACM SIGPLAN Notices (4 papers)IEEE Security & Privacy (4 papers)ACM Transactions on Software Engineering and Methodology (2 papers)Proceedings of the ACM on Programming Languages (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Mathias Payer
136 papers receiving 4.2k citations
Mathias Payer's Hit Papers
Peers
Comparison fields: 5 of 86
- Signal Processing 2.5k
- Software 758
- Hardware and Architecture 897
- Artificial Intelligence 2.9k
- Information Systems 1.4k
Countries citing papers authored by Mathias Payer
This map shows the geographic impact of Mathias Payer'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 Mathias Payer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Payer more than expected).
Fields of papers citing papers by Mathias Payer
This network shows the impact of papers produced by Mathias Payer. 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 Mathias Payer. The network helps show where Mathias Payer may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Payer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SoK: Eternal War in Memory Hit paper breakdown → | 2013 | 462 |
| 2 | The Matter of Heartbleed Hit paper breakdown → | 2014 | 459 |
| 3 | 2014 | 247 | |
| 4 | Control-flow bending: on the effectiveness of control-flow integrity | 2015 | 218 |
| 5 | T-Fuzz: Fuzzing by Program Transformation Hit paper breakdown → | 2018 | 197 |
| 6 | 2017 | 166 | |
| 7 | 2019 | 105 | |
| 8 | 2016 | 99 | |
| 9 | 2019 | 97 | |
| 10 | 2020 | 96 | |
| 11 | 2020 | 93 | |
| 12 | 2020 | 86 | |
| 13 | 2015 | 84 | |
| 14 | 2016 | 79 | |
| 15 | 2017 | 76 | |
| 16 | 2014 | 73 | |
| 17 | 2021 | 70 | |
| 18 | 2016 | 68 | |
| 19 | 2019 | 66 | |
| 20 | 2015 | 65 |
About Mathias Payer
Mathias Payer is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Software, having authored 142 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (78 papers), Security and Verification in Computing (69 papers), Software Testing and Debugging Techniques (31 papers), Software Engineering Research (21 papers), Distributed systems and fault tolerance (20 papers), Parallel Computing and Optimization Techniques (18 papers), Advanced Data Storage Technologies (14 papers) and Diamond and Carbon-based Materials Research (13 papers). The work is most often cited by research in Signal Processing (2.5k citations), Software (758 citations), Hardware and Architecture (897 citations), Artificial Intelligence (2.9k citations) and Information Systems (1.4k citations). Mathias Payer has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Dawn Song, László Szekeres, Thomas Groß, Tao Wei, Hui Peng, Nathan Burow, Antonio Barresi, R. Sekar, Yan Shoshitaishvili and Scott Carr. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Security & Privacy, ACM Transactions on Software Engineering and Methodology, Proceedings of the ACM on Programming Languages and ACM Computing Surveys.
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.