Jürgen Eichenauer‐Herrmann
Impact in
- Numerical Analysis top 5%
- Mathematical Approximation and Integration
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- Chaos-based Image/Signal Encryption
Papers in
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- Chaos-based Image/Signal Encryption 43
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- Cryptography and Residue Arithmetic 25
- Co-authors
- Harald Niederreiter (10 shared papers)Alev Topuzoğlu (2 shared papers)Katja Ickstadt (5 shared papers)Gerhard Larcher (3 shared papers)Eva Herrmann (1 shared paper)Jürgen Lehn (4 shared papers)M. Brockmann (1 shared paper)
In The Last Decade
Jürgen Eichenauer‐Herrmann
54 papers receiving 420 citations
Peers
Comparison fields: 5 of 31
- Numerical Analysis 178
- Computer Vision and Pattern Recognition 416
- Algebra and Number Theory 67
- Computational Theory and Mathematics 187
- Statistics and Probability 77
Countries citing papers authored by Jürgen Eichenauer‐Herrmann
This map shows the geographic impact of Jürgen Eichenauer‐Herrmann'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 Jürgen Eichenauer‐Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Eichenauer‐Herrmann more than expected).
Fields of papers citing papers by Jürgen Eichenauer‐Herrmann
This network shows the impact of papers produced by Jürgen Eichenauer‐Herrmann. 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 Jürgen Eichenauer‐Herrmann. The network helps show where Jürgen Eichenauer‐Herrmann may publish in the future.
Co-authors
The 7 scholars most cited alongside Jürgen Eichenauer‐Herrmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 73 | |
| 2 | 1993 | 49 | |
| 3 | 1995 | 34 | |
| 4 | 1991 | 27 | |
| 5 | 1990 | 24 | |
| 6 | 1991 | 21 | |
| 7 | 1990 | 20 | |
| 8 | 1992 | 19 | |
| 9 | 1992 | 17 | |
| 10 | 1992 | 16 | |
| 11 | 1994 | 15 | |
| 12 | 1992 | 13 | |
| 13 | 1991 | 12 | |
| 14 | 1994 | 11 | |
| 15 | 1989 | 11 | |
| 16 | 1995 | 10 | |
| 17 | 1993 | 10 | |
| 18 | 1994 | 10 | |
| 19 | 1993 | 10 | |
| 20 | 1992 | 9 |
About Jürgen Eichenauer‐Herrmann
Jürgen Eichenauer‐Herrmann is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Numerical Analysis, Statistics and Probability and Computational Theory and Mathematics, having authored 61 papers that have together received 554 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (43 papers), Cryptography and Residue Arithmetic (25 papers), Mathematical Approximation and Integration (20 papers), Numerical Methods and Algorithms (13 papers), Benford’s Law and Fraud Detection (9 papers), Analytic Number Theory Research (8 papers), Mathematical Analysis and Transform Methods (7 papers) and Coding theory and cryptography (6 papers). The work is most often cited by research in Numerical Analysis (178 citations), Computer Vision and Pattern Recognition (416 citations), Algebra and Number Theory (67 citations), Computational Theory and Mathematics (187 citations) and Statistics and Probability (77 citations). Jürgen Eichenauer‐Herrmann has collaborated with scholars based in Germany, Austria and Türkiye. Frequent co-authors include Harald Niederreiter, Alev Topuzoğlu, Katja Ickstadt, Gerhard Larcher, Eva Herrmann, Jürgen Lehn and M. Brockmann. Their work appears in journals such as Mathematics of Computation, Journal of Computational and Applied Mathematics, Finite Fields and Their Applications, ACM Transactions on Modeling and Computer Simulation and Statistical Papers.
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.