Nathan Keller
Impact in
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- Chaos-based Image/Signal Encryption
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
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- Cryptographic Implementations and Security 27
- Coding theory and cryptography 15
- Cryptography and Data Security 3
- Internet Traffic Analysis and Secure E-voting 2
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- Chaos-based Image/Signal Encryption 22
- Co-authors
- Orr Dunkelman (33 shared papers)Eli Biham (8 shared papers)Adi Shamir (14 shared papers)Elad Barkan (1 shared paper)Bart Preneel (4 shared papers)Sebastiaan Indesteege (4 shared papers)Daniel Hershkowitz (1 shared paper)Eyal Ronen (5 shared papers)
In The Last Decade
Nathan Keller
41 papers receiving 387 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 212
- Hardware and Architecture 69
- Artificial Intelligence 312
- Signal Processing 64
- Computer Networks and Communications 64
Countries citing papers authored by Nathan Keller
This map shows the geographic impact of Nathan Keller'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 Nathan Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Keller more than expected).
Fields of papers citing papers by Nathan Keller
This network shows the impact of papers produced by Nathan Keller. 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 Nathan Keller. The network helps show where Nathan Keller may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Keller, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 78 | |
| 2 | A Practical Attack on KeeLoq | 2008 | 39 |
| 3 | 2013 | 35 | |
| 4 | 2013 | 30 | |
| 5 | 2012 | 24 | |
| 6 | 2010 | 23 | |
| 7 | 2019 | 21 | |
| 8 | 2008 | 20 | |
| 9 | 2010 | 19 | |
| 10 | 2003 | 13 | |
| 11 | 1989 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2012 | 12 | |
| 14 | 2012 | 8 | |
| 15 | How to Steal Cars - A Practical Attack on KeeLoq R | 2007 | 7 |
| 16 | 2013 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 2013 | 5 | |
| 19 | Related-Key Rectangle Attack on the Full SHACAL-1 | 2006 | 4 |
| 20 | New Cryptanalytic Results on IDEA | 2006 | 4 |
About Nathan Keller
Nathan Keller is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Hardware and Architecture and Computational Theory and Mathematics, having authored 43 papers that have together received 423 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (27 papers), Chaos-based Image/Signal Encryption (22 papers), Coding theory and cryptography (15 papers), Advanced Malware Detection Techniques (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Cryptography and Data Security (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Attachment and Relationship Dynamics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Hardware and Architecture (69 citations), Artificial Intelligence (312 citations), Signal Processing (64 citations) and Computer Networks and Communications (64 citations). Nathan Keller has collaborated with scholars based in Israel, Belgium and France. Frequent co-authors include Orr Dunkelman, Eli Biham, Adi Shamir, Elad Barkan, Bart Preneel, Sebastiaan Indesteege, Daniel Hershkowitz, Eyal Ronen, Vincent Rijmen and Patrick Derbez. Their work appears in journals such as Journal of Cryptology, Designs Codes and Cryptography, IEEE Transactions on Information Theory, Neurosurgical FOCUS and Advances in Mathematics.
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.