David Rupprecht

689 citations
16 papers · 431 indexed · h-index 12

Impact in

Papers in

Journals
Journal of Pure and Applied Algebra (1 paper)Journal of Symbolic Computation (2 papers)Radboud Repository (Radboud University) (3 papers)USENIX Security Symposium (1 paper)

In The Last Decade

David Rupprecht

16 papers receiving 414 citations

Peers

David Rupprecht
Comparison fields: 5 of 39
  • Computer Networks and Communications 226
  • Signal Processing 104
  • Computational Mathematics 4
  • Artificial Intelligence 186
  • Computational Theory and Mathematics 85
Replace Wenbao Han with:
Wenbao Han China
Hang Du United States
Jürgen Freudenberger Germany
Salil K. Sanyal India
Matthew J. B. Robshaw France
Vladimir Braverman United States
Kannan Srinathan India
YE Dong-yi China
Robert Morelos-Zaragoza United States
F. Frances Yao United States
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Citations per field
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Citations per year

Countries citing papers authored by David Rupprecht

Since Specialization
Citations

This map shows the geographic impact of David Rupprecht'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 David Rupprecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Rupprecht more than expected).

Fields of papers citing papers by David Rupprecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Rupprecht. 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 David Rupprecht. The network helps show where David Rupprecht may publish in the future.

Co-authorship network

The 5 scholars most cited alongside David Rupprecht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Rupprecht Line = papers co-authored together David Rupprecht links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20242
2 20234
3 202316
4 20218
5 202139
6
Call Me Maybe: Eavesdropping Encrypted {LTE} Calls With ReVoLTE
202019
7 202044
8 2019115
9 201911
10 201929
11 201940
12
Putting LTE security functions to the test: a framework to evaluate implementation correctness
201623
13 200412
14 200223
15 20019
16 199937

About David Rupprecht

David Rupprecht is a scholar working on Signal Processing, Hardware and Architecture, Information Systems, Software and Computer Networks and Communications, having authored 16 papers that have together received 431 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Advanced Authentication Protocols Security (5 papers), Polynomial and algebraic computation (4 papers), User Authentication and Security Systems (4 papers), Cryptographic Implementations and Security (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers) and Numerical Methods and Algorithms (2 papers). The work is most often cited by research in Computer Networks and Communications (226 citations), Signal Processing (104 citations), Computational Mathematics (4 citations), Artificial Intelligence (186 citations) and Computational Theory and Mathematics (85 citations). David Rupprecht has collaborated with scholars based in Germany, United Arab Emirates and France. Frequent co-authors include Thorsten Holz, Christina Pöpper, Katharina Kohls, André Galligo and Christian Böhm. Their work appears in journals such as Journal of Pure and Applied Algebra, Journal of Symbolic Computation, Radboud Repository (Radboud University) and USENIX Security Symposium.

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.

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