Franz Gregor
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Security and Verification in Computing 8
- Cryptography and Data Security 1
- Internet Traffic Analysis and Secure E-voting 1
-
- Cloud Data Security Solutions 4
- Co-authors
- Christof Fetzer (8 shared papers)Bohdan Trach (3 shared papers)Sergei Arnautov (2 shared papers)André Martin (2 shared papers)Thomas Knauth (1 shared paper)Mark Stillwell (1 shared paper)Joshua Lind (1 shared paper)David Eyers (1 shared paper)
- Journals
- Operating Systems Design and Implementation (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Franz Gregor
8 papers receiving 406 citations
Franz Gregor's Hit Papers
Peers
Comparison fields: 5 of 17
- Hardware and Architecture 80
- Signal Processing 126
- Artificial Intelligence 350
- Information Systems 242
- Computer Networks and Communications 190
Countries citing papers authored by Franz Gregor
This map shows the geographic impact of Franz Gregor'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 Franz Gregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz Gregor more than expected).
Fields of papers citing papers by Franz Gregor
This network shows the impact of papers produced by Franz Gregor. 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 Franz Gregor. The network helps show where Franz Gregor may publish in the future.
Co-authors
The 22 scholars most cited alongside Franz Gregor, 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 | SCONE: secure Linux containers with Intel SGX Hit paper breakdown → | 2016 | 297 |
| 2 | 2018 | 66 | |
| 3 | 2019 | 20 | |
| 4 | 2019 | 12 | |
| 5 | 2021 | 9 | |
| 6 | 2020 | 6 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 |
About Franz Gregor
Franz Gregor is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering, having authored 8 papers that have together received 413 indexed citations. Recurring topics across this work include Security and Verification in Computing (8 papers), Cloud Data Security Solutions (4 papers), Distributed systems and fault tolerance (3 papers), Advanced Memory and Neural Computing (2 papers), Cryptography and Data Security (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (80 citations), Signal Processing (126 citations), Artificial Intelligence (350 citations), Information Systems (242 citations) and Computer Networks and Communications (190 citations). Franz Gregor has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Christof Fetzer, Bohdan Trach, Sergei Arnautov, André Martin, Thomas Knauth, Mark Stillwell, Joshua Lind, David Eyers, Peter Pietzuch and David Goltzsche. Their work appears in journals such as Operating Systems Design and Implementation, Edinburgh Research Explorer (University of Edinburgh) and Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.
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.