O. Herrmann

14 papers receiving 556 citations

Peers

O. Herrmann
Comparison fields: 5 of 54
  • Signal Processing 519
  • Computational Mechanics 341
  • Computer Vision and Pattern Recognition 316
  • Applied Mathematics 48
  • Computational Theory and Mathematics 76
Replace David S. K. Chan with:
David S. K. Chan United States
K.L. Ho Hong Kong
A. Deczky Canada
Member Eurasip Switzerland
M.N.S. Swamy Canada
L. B. Jackson United States
G.D. Cain United Kingdom
Charles M. Loeffler United States
Liyan Qiao China
Ning Fu China
O. Herrmann relative to David S. K. Chan United States David S. K. Chan's profile →
Citations per field
00.5×2×3×4×4.8×
David S. K. Chan · 1×
Citations per year

Countries citing papers authored by O. Herrmann

Since Specialization
Citations

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

Fields of papers citing papers by O. Herrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside O. Herrmann, 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 O. Herrmann Line = papers co-authored together O. Herrmann links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1973157
2 1971152
3 1970124
4 197073
5 197470
6 197521
7 197318
8 197316
9 20234
10 20224
11 20133
12 20233
13 20253
14 20222
15
Comparison of Three Methods for Linearization of Electrodynamic Transducers
19961
16
Automatic Classification of Polysomnographic Respiration Signals
19971
17 20250
18 20250
19 20250

About O. Herrmann

O. Herrmann is a scholar working on Signal Processing, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Applied Mathematics, having authored 19 papers that have together received 652 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (6 papers), Numerical Methods and Algorithms (3 papers), Manufacturing Process and Optimization (3 papers), Image and Signal Denoising Methods (3 papers), Topology Optimization in Engineering (2 papers), Advanced Data Compression Techniques (2 papers), Health, Medicine and Society (2 papers) and Advanced Adaptive Filtering Techniques (2 papers). The work is most often cited by research in Signal Processing (519 citations), Computational Mechanics (341 citations), Computer Vision and Pattern Recognition (316 citations), Applied Mathematics (48 citations) and Computational Theory and Mathematics (76 citations). O. Herrmann has collaborated with scholars based in Germany. Frequent co-authors include L. R. Rabiner, David S. K. Chan, James F. Kaiser, Ronald W. Schafer, Roland Lachmayer, Paul Christoph Gembarski, Christian Hasse, Iryna Mozgova, Tobias Ehlers and Werner Hohenberger. Their work appears in journals such as Electronics Letters, Endoscopy, Advanced Engineering Materials, Bell System Technical Journal and Algorithms.

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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