Markus Michels

1.6k citations
10 papers · 283 · h-index 8

Impact in

    • Cryptography and Data Security
    • Coding theory and cryptography
    • Cryptographic Implementations and Security
    • Privacy-Preserving Technologies in Data
    • Cryptography and Residue Arithmetic

Papers in

Markus Michels

9 papers receiving 253 citations

Peers

Markus Michels
Comparison fields: 5 of 15
  • Artificial Intelligence 273
  • Information Systems 119
  • Computational Theory and Mathematics 58
  • Computer Vision and Pattern Recognition 67
  • Computer Networks and Communications 73
Replace Zuhua Shao with:
Zuhua Shao China
Sahadeo Padhye India
Fabien Laguillaumie France
John Malone-Lee United Kingdom
David Derler Austria
Nuttapong Attrapadung Japan
Allison Lewko United States
Ron Rivest
Greg Zaverucha United States
Markus Michels relative to Zuhua Shao China Zuhua Shao's profile →
Citations per field
00.5×1.5×1.9×
Zuhua Shao · 1×
Citations per year

Countries citing papers authored by Markus Michels

Since Specialization
Citations

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

Fields of papers citing papers by Markus Michels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Markus Michels, 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 Markus Michels Line = papers co-authored together Markus Michels links everyone, so they are left out of the graph.

All Works

About Markus Michels

Markus Michels is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Geometry and Topology, having authored 10 papers that have together received 283 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Chaos-based Image/Signal Encryption (5 papers), Cryptography and Residue Arithmetic (4 papers), Coding theory and cryptography (4 papers), Cloud Data Security Solutions (1 paper), History and Cultural Heritage (1 paper), Cryptographic Implementations and Security (1 paper) and Digitalization, Law, and Regulation (1 paper). The work is most often cited by research in Artificial Intelligence (273 citations), Information Systems (119 citations), Computational Theory and Mathematics (58 citations), Computer Vision and Pattern Recognition (67 citations) and Computer Networks and Communications (73 citations). Markus Michels has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Hauke Petersen, Patrick Horster, Jan Camenisch, Holger Petersen, David Naccache and Andreas Bertsch. Their work appears in journals such as Electronics Letters, Computers & Security, IEE Proceedings - Computers and Digital Techniques and BRICS Report Series.

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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