Per Larsen
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
- Hardware and Architecture top 2%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Parallel Computing and Optimization Techniques
Papers in
-
- Advanced Malware Detection Techniques 31
-
- Parallel Computing and Optimization Techniques 10
- Co-authors
- Michael FranzStefan BrunthalerAndrei HomescuStephen CraneAhmad‐Reza SadeghiLucas DaviChristopher LiebchenStijn Volckaert
- Journals
- IEEE Security & Privacy (4 papers)Automatica (3 papers)ACM SIGPLAN Notices (2 papers)IEEE Transactions on Industrial Informatics (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Per Larsen
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Signal Processing 1.1k
- Hardware and Architecture 318
- Artificial Intelligence 1.5k
- Software 104
- Computer Networks and Communications 562
Countries citing papers authored by Per Larsen
This map shows the geographic impact of Per Larsen'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 Per Larsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per Larsen more than expected).
Fields of papers citing papers by Per Larsen
This network shows the impact of papers produced by Per Larsen. 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 Per Larsen. The network helps show where Per Larsen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Per Larsen, 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 | 2022 | 28 | |
| 2 | 2020 | 1 | |
| 3 | 2016 | 15 | |
| 4 | Subversive-C: abusing and protecting dynamic message dispatch | 2016 | 5 |
| 5 | 2015 | 100 | |
| 6 | 2015 | 76 | |
| 7 | 2015 | 21 | |
| 8 | 2015 | 9 | |
| 9 | 2014 | 201 | |
| 10 | 2014 | 0 | |
| 11 | 2013 | 2 | |
| 12 | 2013 | 8 | |
| 13 | 2013 | 75 | |
| 14 | Guiding Programmers to Higher Memory Performance | 2012 | 2 |
| 15 | 2012 | 15 | |
| 16 | 1987 | 3 | |
| 17 | Computer aided design in control and engineering systems : advanced tools for modern technology : proceedings of the 3rd IFAC/IFIP Symposium, Lyngby, Denmark, 31 July-2 August 1985 | 1986 | 3 |
| 18 | 1981 | 1 | |
| 19 | 1980 | 259 | |
| 20 | 1979 | 2 |
About Per Larsen
Per Larsen is a scholar working on Signal Processing, Hardware and Architecture, Artificial Intelligence, Software and Computer Networks and Communications, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Security and Verification in Computing (35 papers), Advanced Malware Detection Techniques (31 papers), Parallel Computing and Optimization Techniques (10 papers), Distributed systems and fault tolerance (9 papers), Diamond and Carbon-based Materials Research (8 papers), Logic, programming, and type systems (6 papers), Radiation Effects in Electronics (6 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Signal Processing (1.1k citations), Hardware and Architecture (318 citations), Artificial Intelligence (1.5k citations), Software (104 citations) and Computer Networks and Communications (562 citations). Per Larsen has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Michael Franz, Stefan Brunthaler, Andrei Homescu, Stephen Crane, Ahmad‐Reza Sadeghi, Lucas Davi, Christopher Liebchen, Stijn Volckaert, Michael Franz and Mathias Payer. Their work appears in journals such as IEEE Security & Privacy, Automatica, ACM SIGPLAN Notices, IEEE Transactions on Industrial Informatics and ACM Computing Surveys.
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.