Willi Meier

8.3k citations
163 papers · 5.8k · h-index 35

Impact in

Papers in

Willi Meier

159 papers receiving 5.3k citations

Peers

Willi Meier
Comparison fields: 5 of 94
  • Artificial Intelligence 5.2k
  • Computer Vision and Pattern Recognition 2.9k
  • Hardware and Architecture 724
  • Computational Theory and Mathematics 622
  • Signal Processing 401
Replace Gregor Leander with:
Gregor Leander Germany
Guang Gong Canada
Matthew J. B. Robshaw France
Nicolas T. Courtois United Kingdom
Eli Biham Israel
Mitsuru Matsui Japan
Dengguo Feng China
Joan Daemen Netherlands
Yannick Seurin France
Huaxiong Wang Singapore
Willi Meier relative to Gregor Leander Germany Gregor Leander's profile →
Citations per field
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Citations per year

Countries citing papers authored by Willi Meier

Since Specialization
Citations

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

Fields of papers citing papers by Willi Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Willi Meier, 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 Willi Meier Line = papers co-authored together Willi Meier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003451
2 2007405
3 1989358
4 2004333
5 2010228
6 2006222
7 2008182
8 2011165
9 1988155
10 1995145
11 2009144
12 2007143
13 2008123
14 2012120
15 2010106
16 199897
17 201781
18 200678
19 201778
20 199271

About Willi Meier

Willi Meier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Computational Theory and Mathematics and Geometry and Topology, having authored 163 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (126 papers), Coding theory and cryptography (106 papers), Chaos-based Image/Signal Encryption (82 papers), Physical Unclonable Functions (PUFs) and Hardware Security (27 papers), graph theory and CDMA systems (16 papers), Cryptography and Data Security (9 papers), Cryptography and Residue Arithmetic (7 papers) and Polynomial and algebraic computation (7 papers). The work is most often cited by research in Artificial Intelligence (5.2k citations), Computer Vision and Pattern Recognition (2.9k citations), Hardware and Architecture (724 citations), Computational Theory and Mathematics (622 citations) and Signal Processing (401 citations). Willi Meier has collaborated with scholars based in Switzerland, China and Japan. Frequent co-authors include Othmar Staffelbach, Thomas P. Johansson, Martin Hell, Nicolas T. Courtois, Jean-Philippe Aumasson, María Naya‐Plasencia, Claude Carlet, Enes Pašalić, Luca Henzen and Alexander Maximov. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Lecture notes in computer science, Journal of Cryptology, Designs Codes and Cryptography and Cryptography and Communications.

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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