Karsten Nohl
Impact in
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Artificial Intelligence top 5%
- Cryptographic Implementations and Security
- Coding theory and cryptography
Papers in
-
- Cryptographic Implementations and Security 5
- Internet Traffic Analysis and Secure E-voting 2
-
- RFID technology advancements 5
- Co-authors
- Claude Castelluccia (1 shared paper)Mate Soos (1 shared paper)David Evans (4 shared papers)Ralf-Philipp Weinmann (1 shared paper)Erik Tews (1 shared paper)Nicolas T. Courtois (1 shared paper)Sean O’Neil (1 shared paper)
- Journals
- Lecture notes in computer science (4 papers)IFIP International Federation for Information Processing/IFIP (1 paper)USENIX Security Symposium (1 paper)IACR Cryptology ePrint Archive (1 paper)
- Partner nations
- United StatesGermanyLuxembourg
In The Last Decade
Karsten Nohl
9 papers receiving 549 citations
Peers
Comparison fields: 5 of 49
- Hardware and Architecture 128
- Artificial Intelligence 384
- Software 46
- Media Technology 91
- Computational Theory and Mathematics 129
Countries citing papers authored by Karsten Nohl
This map shows the geographic impact of Karsten Nohl'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 Karsten Nohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Nohl more than expected).
Fields of papers citing papers by Karsten Nohl
This network shows the impact of papers produced by Karsten Nohl. 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 Karsten Nohl. The network helps show where Karsten Nohl may publish in the future.
Co-authors
The 7 scholars most cited alongside Karsten Nohl, 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 | 2009 | 321 | |
| 2 | Reverse-engineering a cryptographic RFID tag | 2008 | 177 |
| 3 | 2006 | 29 | |
| 4 | 2010 | 24 | |
| 5 | Algebraic Attacks on the Crypto-1 Stream Cipher in MiFare Classic and Oyster Cards. | 2008 | 12 |
| 6 | Qualifying Information Leakage in Tree-Based Hash Protocols | 2012 | 8 |
| 7 | 2012 | 6 | |
| 8 | 2009 | 4 | |
| 9 | 2008 | 2 |
About Karsten Nohl
Karsten Nohl is a scholar working on Artificial Intelligence, Media Technology, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 9 papers that have together received 583 indexed citations. Recurring topics across this work include RFID technology advancements (5 papers), Cryptographic Implementations and Security (5 papers), User Authentication and Security Systems (4 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Advanced Malware Detection Techniques (2 papers), Chaos-based Image/Signal Encryption (2 papers) and graph theory and CDMA systems (1 paper). The work is most often cited by research in Hardware and Architecture (128 citations), Artificial Intelligence (384 citations), Software (46 citations), Media Technology (91 citations) and Computational Theory and Mathematics (129 citations). Karsten Nohl has collaborated with scholars based in United States, Germany and Luxembourg. Frequent co-authors include Claude Castelluccia, Mate Soos, David Evans, Ralf-Philipp Weinmann, Erik Tews, Nicolas T. Courtois and Sean O’Neil. Their work appears in journals such as Lecture notes in computer science, IFIP International Federation for Information Processing/IFIP, USENIX Security Symposium and IACR Cryptology ePrint Archive.
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.