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
-
- Cryptographic Implementations and Security 5
- Security and Verification in Computing 4
- Coding theory and cryptography 2
-
- Chaos-based Image/Signal Encryption 4
- Co-authors
- Stefan Mangard (7 shared papers)Thomas Unterluggauer (6 shared papers)Michael Schwarz (1 shared paper)Lukas Giner (1 shared paper)Daniel Gruss (1 shared paper)Samuel Weiser (1 shared paper)Ahmad‐Reza Sadeghi (1 shared paper)Ferdinand Brasser (1 shared paper)
- Journals
- Journal of Cryptographic Engineering (1 paper)TUGraz OPEN Library (Graz University of Technology) (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)USENIX Security Symposium (1 paper)
- Partner nations
- Austria
In The Last Decade
Mario Werner
7 papers receiving 146 citations
Peers
Comparison fields: 5 of 14
- Hardware and Architecture 53
- Signal Processing 54
- Artificial Intelligence 135
- Information Systems 42
- 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 | 51 | |
| 3 | 2017 | 13 | |
| 4 | 2018 | 13 | |
| 5 | 2019 | 11 | |
| 6 | 2017 | 3 | |
| 7 | 2017 | 2 |
About Mario Werner
Mario Werner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 7 papers that have together received 149 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (5 papers), Security and Verification in Computing (4 papers), Chaos-based Image/Signal Encryption (4 papers), Coding theory and cryptography (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Advanced Memory and Neural Computing (1 paper), Distributed systems and fault tolerance (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (53 citations), Signal Processing (54 citations), Artificial Intelligence (135 citations), Information Systems (42 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, Michael Schwarz, Lukas Giner, Daniel Gruss, Samuel Weiser, Ahmad‐Reza Sadeghi, Ferdinand Brasser and Robert Schilling. Their work appears in journals such as Journal of Cryptographic Engineering, TUGraz OPEN Library (Graz University of Technology), Zenodo (CERN European Organization for Nuclear Research) and USENIX Security Symposium.
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.