David Derler

1.3k citations
11 papers · 274 indexed · h-index 7

Impact in

    • Blockchain Technology Applications and Security
    • Cloud Data Security Solutions
    • Cryptography and Data Security
    • Privacy-Preserving Technologies in Data
    • Cryptographic Implementations and Security
    • Internet Traffic Analysis and Secure E-voting

Papers in

David Derler

11 papers receiving 267 citations

Peers

David Derler
Comparison fields: 5 of 31
  • Information Systems 175
  • Artificial Intelligence 226
  • Computer Networks and Communications 71
  • Computational Theory and Mathematics 27
  • Computer Vision and Pattern Recognition 31
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David Derler relative to Damien Vergnaud France Damien Vergnaud's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by David Derler

Since Specialization
Citations

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

Fields of papers citing papers by David Derler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside David Derler, 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 Derler Line = papers co-authored together David Derler links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20242
2 202110
3 2019127
4 201819
5 20182
6 201811
7 201813
8 201777
9 20153
10
Towards Secure Mobile Computing: Employing Power-Consumption Information to Detect Malware on Mobile Devices
20146
11
Power Consumption-based Application Classification and Malware Detection on Android Using Machine-Learning Techniques
20134

About David Derler

David Derler is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 274 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Cryptographic Implementations and Security (4 papers), Chaos-based Image/Signal Encryption (2 papers), Blockchain Technology Applications and Security (2 papers), Security in Wireless Sensor Networks (2 papers), Cloud Data Security Solutions (2 papers), Advanced Malware Detection Techniques (2 papers) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Information Systems (175 citations), Artificial Intelligence (226 citations), Computer Networks and Communications (71 citations), Computational Theory and Mathematics (27 citations) and Computer Vision and Pattern Recognition (31 citations). David Derler has collaborated with scholars based in Austria, Germany and Denmark. Frequent co-authors include Daniel Slamanig, Christoph Striecks, Kai Samelin, Sebastian Ramacher, Steven Goldfeder, Claudio Orlandi, Melissa Chase, Christian Rechberger, Greg Zaverucha and Tibor Jager. Their work appears in journals such as Designs Codes and Cryptography, Journal of Cryptology and Zenodo (CERN European Organization for Nuclear Research).

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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