Mathias Payer

6.5k citations
134 papers · 3.6k indexed · 3 hit papers · h-index 29

Mathias Payer

127 papers receiving 3.5k citations

Hit Papers

T-Fuzz: Fuzzing by Program Transformation1872013202620172021100200300400

Peers

Mathias Payer
Comparison fields: 5 of 91
  • Signal Processing 2.0k
  • Software 663
  • Hardware and Architecture 770
  • Artificial Intelligence 2.4k
  • Information Systems 1.2k
Replace R. Sekar with:
R. Sekar United States
Zhiqiang Lin United States
Angelos D. Keromytis United States
Dongyan Xu United States
Chris Hankin United Kingdom
David Lie Canada
Úlfar Erlingsson United States
Yulei Sui Australia
Davide Balzarotti France
Binyu Zang China
Mathias Payer relative to R. Sekar United States R. Sekar's profile →
Citations per field
00.5×3.2×
R. Sekar · 1×
Citations per year

Countries citing papers authored by Mathias Payer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Mathias Payer Line = papers co-authored together Mathias Payer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20241
5 20240
6 20233
7
Midas: Systematic Kernel TOCTTOU Protection
20221
8 20221
9 202078
10 201991
11
Too Quiet in the Library: A Study of Native Third-Party Libraries in Android
20191
12
Software Ethology: An Accurate and Resilient Semantic Binary Analysis Framework
20191
13
ACES: Automatic Compartments for Embedded Systems.
201826
14
Venerable Variadic Vulnerabilities Vanquished
20179
15
Proceedings of the 2016 ACM on Cloud Computing Security Workshop
20161
16
On Cybersecurity of Freeway Control Systems: Analysis of Coordinated Ramp Metering Attacks
201519
17
Towards Forgery-Resistant Touch-based Biometric Authentication on Mobile Devices.
20151
18
Control-Flow Integrity.
20151
19
JIGSAW: protecting resource access by inferring programmer expectations
201421
20 2014224

About Mathias Payer

Mathias Payer is a scholar working on Software, Signal Processing and Hardware and Architecture, having authored 134 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (74 papers), Security and Verification in Computing (63 papers), Software Testing and Debugging Techniques (30 papers), Software Engineering Research (21 papers), Distributed systems and fault tolerance (18 papers), Parallel Computing and Optimization Techniques (17 papers), Diamond and Carbon-based Materials Research (12 papers) and Advanced Data Storage Technologies (12 papers). The work is most often cited by research in Signal Processing (2.0k citations), Software (663 citations) and Hardware and Architecture (770 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, Yan Shoshitaishvili, Scott Carr, R. Sekar and Antonio Barresi. Their work appears in journals such as IEEE Security & Privacy, ACM SIGPLAN Notices, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering 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.

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