Lukas Giner
Impact in
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Security and Verification in Computing 6
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- Advanced Data Storage Technologies 2
- Distributed systems and fault tolerance 1
- Co-authors
- Daniel Gruss (7 shared papers)Michael Schwarz (4 shared papers)Stefan Mangard (3 shared papers)Carlo Alberto Boano (1 shared paper)Clémentine Maurice (1 shared paper)Thomas Unterluggauer (2 shared papers)Marina Minkin (1 shared paper)Frank Piessens (1 shared paper)
- Journals
- Geoscientific instrumentation, methods and data systems (1 paper)SPIRE - Sciences Po Institutional REpository (2 papers)Figshare (1 paper)Lirias (KU Leuven) (3 papers)USENIX Security Symposium (1 paper)
- Partner nations
- AustriaUnited KingdomBelgium
In The Last Decade
Lukas Giner
8 papers receiving 293 citations
Peers
Comparison fields: 5 of 16
- Hardware and Architecture 105
- Signal Processing 141
- Artificial Intelligence 271
- Information Systems 63
- Computer Networks and Communications 64
Countries citing papers authored by Lukas Giner
This map shows the geographic impact of Lukas Giner'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 Lukas Giner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Giner more than expected).
Fields of papers citing papers by Lukas Giner
This network shows the impact of papers produced by Lukas Giner. 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 Lukas Giner. The network helps show where Lukas Giner may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Giner, 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 | 108 | |
| 2 | 2017 | 82 | |
| 3 | SCATTERCACHE: thwarting cache attacks via cache set randomization | 2019 | 56 |
| 4 | 2021 | 36 | |
| 5 | 2014 | 9 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 2 | |
| 8 | 2024 | 1 |
About Lukas Giner
Lukas Giner is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Hardware and Architecture and Electrical and Electronic Engineering, having authored 8 papers that have together received 300 indexed citations. Recurring topics across this work include Security and Verification in Computing (6 papers), Cloud Data Security Solutions (3 papers), Advanced Data Storage Technologies (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Malware Detection Techniques (1 paper), Distributed systems and fault tolerance (1 paper), Physical Unclonable Functions (PUFs) and Hardware Security (1 paper) and Solar and Space Plasma Dynamics (1 paper). The work is most often cited by research in Hardware and Architecture (105 citations), Signal Processing (141 citations), Artificial Intelligence (271 citations), Information Systems (63 citations) and Computer Networks and Communications (64 citations). Lukas Giner has collaborated with scholars based in Austria, United Kingdom and Belgium. Frequent co-authors include Daniel Gruss, Michael Schwarz, Stefan Mangard, Carlo Alberto Boano, Clémentine Maurice, Thomas Unterluggauer, Marina Minkin, Frank Piessens, Berk Sunar and Claudio Canella. Their work appears in journals such as Geoscientific instrumentation, methods and data systems, SPIRE - Sciences Po Institutional REpository, Figshare, Lirias (KU Leuven) 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.