Daniel Gruss
Impact in
- Hardware and Architecture top 0.5%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Parallel Computing and Optimization Techniques
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
Papers in
-
- Security and Verification in Computing 47
- Cryptographic Implementations and Security 7
-
- Advanced Malware Detection Techniques 31
- Co-authors
- Stefan Mangard (15 shared papers)Michael Schwarz (24 shared papers)Moritz Lipp (16 shared papers)Daniel Genkin (6 shared papers)Yuval Yarom (6 shared papers)Raphael Spreitzer (4 shared papers)Jo Van Bulck (6 shared papers)Clémentine Maurice (6 shared papers)
- Journals
- IEEE Security & Privacy (2 papers)Communications of the ACM (2 papers)Cybersecurity (1 paper)Lecture notes in computer science (1 paper)INFM-OAR (INFN Catania) (1 paper)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Daniel Gruss
50 papers receiving 2.6k citations
Daniel Gruss's Hit Papers
Peers
Comparison fields: 5 of 48
- Hardware and Architecture 956
- Signal Processing 1.2k
- Artificial Intelligence 2.3k
- Information Systems 658
- Computer Networks and Communications 645
Countries citing papers authored by Daniel Gruss
This map shows the geographic impact of Daniel Gruss'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 Daniel Gruss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gruss more than expected).
Fields of papers citing papers by Daniel Gruss
This network shows the impact of papers produced by Daniel Gruss. 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 Daniel Gruss. The network helps show where Daniel Gruss may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gruss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Meltdown: reading kernel memory from user space Hit paper breakdown → | 2018 | 388 |
| 2 | 2015 | 189 | |
| 3 | 2016 | 184 | |
| 4 | 2020 | 184 | |
| 5 | 2019 | 160 | |
| 6 | 2016 | 115 | |
| 7 | 2020 | 115 | |
| 8 | 2020 | 114 | |
| 9 | 2016 | 112 | |
| 10 | 2020 | 108 | |
| 11 | 2019 | 108 | |
| 12 | 2021 | 108 | |
| 13 | 2020 | 107 | |
| 14 | 2017 | 82 | |
| 15 | Strong and efficient cache side-channel protection using hardware transactional memory | 2017 | 77 |
| 16 | A Systematic Evaluation of Transient Execution Attacks and Defenses | 2019 | 67 |
| 17 | SCATTERCACHE: thwarting cache attacks via cache set randomization | 2019 | 56 |
| 18 | 2021 | 36 | |
| 19 | 2020 | 34 | |
| 20 | 2020 | 31 |
About Daniel Gruss
Daniel Gruss is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Hardware and Architecture and Computer Networks and Communications, having authored 53 papers that have together received 2.7k indexed citations. Recurring topics across this work include Security and Verification in Computing (47 papers), Advanced Malware Detection Techniques (31 papers), Cloud Data Security Solutions (14 papers), Physical Unclonable Functions (PUFs) and Hardware Security (9 papers), Parallel Computing and Optimization Techniques (7 papers), Cryptographic Implementations and Security (7 papers), Network Security and Intrusion Detection (6 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Hardware and Architecture (956 citations), Signal Processing (1.2k citations), Artificial Intelligence (2.3k citations), Information Systems (658 citations) and Computer Networks and Communications (645 citations). Daniel Gruss has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Stefan Mangard, Michael Schwarz, Moritz Lipp, Daniel Genkin, Yuval Yarom, Raphael Spreitzer, Jo Van Bulck, Clémentine Maurice, Thomas Prescher and Anders Fogh. Their work appears in journals such as IEEE Security & Privacy, Communications of the ACM, Cybersecurity, Lecture notes in computer science and INFM-OAR (INFN Catania).
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.