Helmut Knebl

630 citations
11 papers · 252 indexed · h-index 5

Impact in

Papers in

Journals
manuscripta mathematica (2 papers)Journal of Algebra (1 paper)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (2 papers)
Partner nations
Germany

In The Last Decade

Helmut Knebl

9 papers receiving 232 citations

Peers

Helmut Knebl
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 99
  • Artificial Intelligence 140
  • Information Systems 82
  • Computer Networks and Communications 67
  • Signal Processing 22
Replace Song Y. Yan with:
Song Y. Yan United Kingdom
Maozhi Xu China
Avishek Adhikari India
Richard Schroeppel United States
Roberto Avanzi Germany
Gregor Seiler Switzerland
Renchi Yang Hong Kong
Craig Costello United States
Tancrède Lepoint United States
Fuad Jamour Saudi Arabia
Helmut Knebl relative to Song Y. Yan United Kingdom Song Y. Yan's profile →
Citations per field
00.5×1.5×2.2×
Song Y. Yan · 1×
Citations per year

Countries citing papers authored by Helmut Knebl

Since Specialization
Citations

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

Fields of papers citing papers by Helmut Knebl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Helmut Knebl, 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 Helmut Knebl Line = papers co-authored together Helmut Knebl links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20210
2 20202
3 20202
4 20191
5 201528
6 20122
7 20114
8
Introduction to Cryptography: Principles and Applications (Information Security and Cryptography)
200721
9 200778
10 2002112
11 19842

About Helmut Knebl

Helmut Knebl is a scholar working on Algebra and Number Theory, Geometry and Topology, Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 11 papers that have together received 252 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (4 papers), Cryptographic Implementations and Security (4 papers), Polynomial and algebraic computation (2 papers), Commutative Algebra and Its Applications (2 papers), Algebraic Geometry and Number Theory (2 papers), Algorithms and Data Compression (1 paper), Intelligence, Security, War Strategy (1 paper) and Political and Social Issues (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (99 citations), Artificial Intelligence (140 citations), Information Systems (82 citations), Computer Networks and Communications (67 citations) and Signal Processing (22 citations). Helmut Knebl has collaborated with scholars based in Germany. Frequent co-authors include Hans Delfs, Ernst Kunz and R. Waldi. Their work appears in journals such as manuscripta mathematica, Journal of Algebra and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).

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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