Willi Geiselmann

735 citations
40 papers · 446 · h-index 12

Impact in

Papers in

Willi Geiselmann

39 papers receiving 413 citations

Peers

Willi Geiselmann
Comparison fields: 5 of 38
  • Discrete Mathematics and Combinatorics 77
  • Artificial Intelligence 386
  • Computational Theory and Mathematics 111
  • Information Systems 143
  • Computer Vision and Pattern Recognition 61
Replace Maozhi Xu with:
Maozhi Xu China
Thierry Pierre Berger France
G.L. Feng United States
I. Onyszchuk United States
Young-Ho Park South Korea
Sen‐Shan Huang Taiwan
Xiaoni Du China
M.J. Coster Netherlands
Ju-Sung Kang South Korea
Jean‐François Biasse United States
Willi Geiselmann relative to Maozhi Xu China Maozhi Xu's profile →
Citations per field
00.5×2×2.9×
Maozhi Xu · 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 24 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

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007131
2 198925
3 200520
4 201118
5 200116
6 200215
7 200415
8 201014
9 200614
10 200312
11 200212
12
200211
13 199511
14 200310
15 199310
16 200010
17 20019
18 19968
19 20037
20 19907

About Willi Geiselmann

Willi Geiselmann is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 40 papers that have together received 446 indexed citations. Recurring topics across this work include Coding theory and cryptography (25 papers), Cryptography and Residue Arithmetic (15 papers), Cryptographic Implementations and Security (13 papers), Chaos-based Image/Signal Encryption (10 papers), Cryptography and Data Security (6 papers), Cellular Automata and Applications (5 papers), Advanced Data Storage Technologies (4 papers) and Polynomial and algebraic computation (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (77 citations), Artificial Intelligence (386 citations), Computational Theory and Mathematics (111 citations), Information Systems (143 citations) and Computer Vision and Pattern Recognition (61 citations). Willi Geiselmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Rainer Steinwandt, Félix Ulmer, Delphine Boucher, Dieter Gollmann, Thomas Beth, Eran Tromer, Georg Bretthauer, Adi Shamir, Daniel Masny and Christoph Beck. Their work appears in journals such as International Journal of Information Security, IEEE Transactions on Computers, Lecture notes in computer science, IEEE Security & Privacy and IEEE Transactions on Information Theory.

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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