Willi Geiselmann

719 citations
19 papers · 208 · h-index 7

Impact in

Papers in

Willi Geiselmann

19 papers receiving 192 citations

Peers

Willi Geiselmann
Comparison fields: 5 of 27
  • Discrete Mathematics and Combinatorics 60
  • Artificial Intelligence 186
  • Computational Theory and Mathematics 56
  • Algebra and Number Theory 9
  • Information Systems 38
Replace G.H. Norton with:
G.H. Norton United Kingdom
Heeralal Janwa Puerto Rico
Kwankyu Lee South Korea
V.M. Sidelnikov Russia
Haode Yan China
Hongwei Liu China
D. Jungnickel Germany
Carlos Munuera Spain
Daniel Augot France
Marko Moisio Finland
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Citations per field
00.5×4.8×
G.H. Norton · 1×
Citations per year

Countries citing papers authored by Willi Geiselmann

Since Specialization
Citations

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

Fields of papers citing papers by Willi Geiselmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007126
2 201114
3 20029
4
20028
5 20037
6 20086
7 19936
8 20036
9 19905
10 20024
11 19944
12
Weakly self-dual normal bases in finite fields
19962
13 20052
14 19912
15 20042
16 20042
17
Complexity of comparing monomials and two improvements of the Buchberger-Möller algorithm
20081
18
Weaknesses in the SL2(IFs2) Hashing Scheme
20001
19 20051

About Willi Geiselmann

Willi Geiselmann is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Networks and Communications, having authored 19 papers that have together received 208 indexed citations. Recurring topics across this work include Coding theory and cryptography (11 papers), Cryptography and Residue Arithmetic (6 papers), Cryptographic Implementations and Security (5 papers), Chaos-based Image/Signal Encryption (4 papers), Cryptography and Data Security (3 papers), Advanced Authentication Protocols Security (2 papers), Quantum-Dot Cellular Automata (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (60 citations), Artificial Intelligence (186 citations), Computational Theory and Mathematics (56 citations), Algebra and Number Theory (9 citations) and Information Systems (38 citations). Willi Geiselmann has collaborated with scholars based in Germany, Switzerland and Israel. Frequent co-authors include Félix Ulmer, Delphine Boucher, Rainer Steinwandt, Daniel Masny, Jörn Müller‐Quade, Christoph Beck, Georg Bretthauer, Dieter Gollmann, T. Beth and Jacques Calmet. Their work appears in journals such as International Journal of Information Security, IEEE Transactions on Computers, Designs Codes and Cryptography, IEEE Transactions on Information Theory and Archiv der Mathematik.

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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