Christopher Huth
Impact in
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Physical Unclonable Functions (PUFs) and Hardware Security 8
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- Advanced Memory and Neural Computing 3
- Vehicular Ad Hoc Networks (VANETs) 2
- Co-authors
- Tim Güneysu (7 shared papers)Jorge Guajardo (4 shared papers)H. Seidel (2 shared papers)René Guillaume (2 shared papers)Thomas Strohm (1 shared paper)Jan Zibuschka (1 shared paper)Daniela Becker (2 shared papers)Aydın Aysu (1 shared paper)
- Journals
- Journal of Cryptographic Engineering (1 paper)Computer Networks (1 paper)IEEE Access (1 paper)Lecture notes in computer science (1 paper)Gesellschaft für Informatik (GI) (1 paper)
- Partner nations
- GermanyUnited StatesTaiwan
In The Last Decade
Christopher Huth
12 papers receiving 333 citations
Peers
Comparison fields: 5 of 39
- Hardware and Architecture 96
- Signal Processing 101
- Computer Networks and Communications 118
- Electrical and Electronic Engineering 235
- Automotive Engineering 36
Countries citing papers authored by Christopher Huth
This map shows the geographic impact of Christopher Huth'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 Christopher Huth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Huth more than expected).
Fields of papers citing papers by Christopher Huth
This network shows the impact of papers produced by Christopher Huth. 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 Christopher Huth. The network helps show where Christopher Huth may publish in the future.
Co-authors
The 9 scholars most cited alongside Christopher Huth, 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 | 2018 | 113 | |
| 2 | 2016 | 56 | |
| 3 | 2020 | 41 | |
| 4 | 2016 | 38 | |
| 5 | 2015 | 33 | |
| 6 | 2016 | 19 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 10 | |
| 9 | 2019 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 3 |
About Christopher Huth
Christopher Huth is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 12 papers that have together received 343 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (8 papers), Cryptographic Implementations and Security (4 papers), Chaos-based Image/Signal Encryption (3 papers), Advanced Memory and Neural Computing (3 papers), Neuroscience and Neural Engineering (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Advanced Malware Detection Techniques (2 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Hardware and Architecture (96 citations), Signal Processing (101 citations), Computer Networks and Communications (118 citations), Electrical and Electronic Engineering (235 citations) and Automotive Engineering (36 citations). Christopher Huth has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include Tim Güneysu, Jorge Guajardo, H. Seidel, René Guillaume, Thomas Strohm, Jan Zibuschka, Daniela Becker, Aydın Aysu and Peter W. Deutsch. Their work appears in journals such as Journal of Cryptographic Engineering, Computer Networks, IEEE Access, Lecture notes in computer science and Gesellschaft für Informatik (GI).
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.