Mario Werner
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Parallel Computing and Optimization Techniques
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Physical Unclonable Functions (PUFs) and Hardware Security 2
- Parallel Computing and Optimization Techniques 1
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- Cryptographic Implementations and Security 5
- Security and Verification in Computing 4
- Coding theory and cryptography 2
- Co-authors
- Stefan MangardThomas UnterluggauerDaniel GrussLukas GinerMichael SchwarzFerdinand BrasserAhmad‐Reza SadeghiSamuel Weiser
- Journals
- Journal of Cryptographic Engineering (1 paper)USENIX Security Symposium (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- Austria
In The Last Decade
Mario Werner
7 papers receiving 143 citations
Peers
Comparison fields: 5 of 14
- Hardware and Architecture 51
- Signal Processing 54
- Artificial Intelligence 132
- Information Systems 40
- Computer Networks and Communications 32
Countries citing papers authored by Mario Werner
This map shows the geographic impact of Mario Werner'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 Mario Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Werner more than expected).
Fields of papers citing papers by Mario Werner
This network shows the impact of papers produced by Mario Werner. 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 Mario Werner. The network helps show where Mario Werner may publish in the future.
Co-authors
The 9 scholars most cited alongside Mario Werner, 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 | SCATTERCACHE: thwarting cache attacks via cache set randomization | 2019 | 56 |
| 2 | 2019 | 50 | |
| 3 | 2019 | 10 | |
| 4 | 2018 | 12 | |
| 5 | 2017 | 13 | |
| 6 | 2017 | 2 | |
| 7 | 2017 | 3 |
About Mario Werner
Mario Werner is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 7 papers that have together received 146 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (5 papers), Chaos-based Image/Signal Encryption (4 papers), Security and Verification in Computing (4 papers), Coding theory and cryptography (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Distributed systems and fault tolerance (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (51 citations), Signal Processing (54 citations), Artificial Intelligence (132 citations), Information Systems (40 citations) and Computer Networks and Communications (32 citations). Mario Werner has collaborated with scholars based in Austria. Frequent co-authors include Stefan Mangard, Thomas Unterluggauer, Daniel Gruss, Lukas Giner, Michael Schwarz, Ferdinand Brasser, Ahmad‐Reza Sadeghi, Samuel Weiser and Robert Schilling. Their work appears in journals such as Journal of Cryptographic Engineering, USENIX Security Symposium and Zenodo (CERN European Organization for Nuclear Research).
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.