Samuel Weiser
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
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- Security and Verification in Computing 8
- Cryptographic Implementations and Security 2
-
- Network Security and Intrusion Detection 3
- Advanced Data Storage Technologies 1
- Co-authors
- Stefan Mangard (6 shared papers)Raphael Spreitzer (3 shared papers)Ferdinand Brasser (1 shared paper)Ahmad‐Reza Sadeghi (1 shared paper)Mario Werner (1 shared paper)Michael Schwarz (3 shared papers)Daniel Gruss (3 shared papers)Clémentine Maurice (1 shared paper)
- Journals
- Cybersecurity (1 paper)International Journal of Computing (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)USENIX Security Symposium (2 papers)
In The Last Decade
Samuel Weiser
9 papers receiving 145 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 55
- Hardware and Architecture 29
- Artificial Intelligence 114
- Information Systems 48
- Computer Networks and Communications 48
Countries citing papers authored by Samuel Weiser
This map shows the geographic impact of Samuel Weiser'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 Samuel Weiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Weiser more than expected).
Fields of papers citing papers by Samuel Weiser
This network shows the impact of papers produced by Samuel Weiser. 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 Samuel Weiser. The network helps show where Samuel Weiser may publish in the future.
Co-authors
The 17 scholars most cited alongside Samuel Weiser, 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 | 2019 | 50 | |
| 2 | 2017 | 26 | |
| 3 | 2020 | 17 | |
| 4 | 2018 | 15 | |
| 5 | DATA - Differential Address Trace Analysis: Finding Address-based Side-Channels in Binaries | 2018 | 12 |
| 6 | Donky: Domain Keys – Efficient In-Process Isolation for RISC-V and x86 | 2020 | 12 |
| 7 | Jenny: Securing Syscalls for PKU-based Memory Isolation Systems | 2022 | 9 |
| 8 | Big Numbers - Big Troubles: Systematically Analyzing Nonce Leakage in (EC)DSA Implementations | 2020 | 7 |
| 9 | SGXJail: Defeating Enclave Malware via Confinement | 2019 | 2 |
About Samuel Weiser
Samuel Weiser is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Hardware and Architecture and Electrical and Electronic Engineering, having authored 9 papers that have together received 150 indexed citations. Recurring topics across this work include Security and Verification in Computing (8 papers), Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Cryptographic Implementations and Security (2 papers), Advanced Memory and Neural Computing (2 papers), Parallel Computing and Optimization Techniques (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Signal Processing (55 citations), Hardware and Architecture (29 citations), Artificial Intelligence (114 citations), Information Systems (48 citations) and Computer Networks and Communications (48 citations). Samuel Weiser has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Stefan Mangard, Raphael Spreitzer, Ferdinand Brasser, Ahmad‐Reza Sadeghi, Mario Werner, Michael Schwarz, Daniel Gruss, Clémentine Maurice, Carlo Alberto Boano and Georg Sigl. Their work appears in journals such as Cybersecurity, International Journal of Computing, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) 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.