O. Herrmann

822 citations
15 papers · 616 · h-index 8

Impact in

Papers in

O. Herrmann

13 papers receiving 530 citations

Peers

O. Herrmann
Comparison fields: 5 of 53
  • Signal Processing 495
  • Computational Mechanics 334
  • Computer Vision and Pattern Recognition 298
  • Applied Mathematics 45
  • Computational Theory and Mathematics 67
Replace M. Narasimha with:
M. Narasimha United States
D. Chan United States
K.L. Ho Hong Kong
Member Eurasip Switzerland
A. Deczky Canada
J.-P. Thiran Belgium
G.D. Cain United Kingdom
M.N.S. Swamy Canada
Charles M. Loeffler United States
Chien-Cheng Tseng Taiwan
O. Herrmann relative to M. Narasimha United States M. Narasimha's profile →
Citations per field
00.5×1.5×
M. Narasimha · 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 17 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

15 of 15 papers shown
#Work
1 1971150
2 1973150
3 1970115
4 197468
5 197067
6 197520
7 197317
8 197316
9 20133
10 20233
11 20232
12 20212
13
Comparison of Three Methods for Linearization of Electrodynamic Transducers
19961
14 20221
15 20251

About O. Herrmann

O. Herrmann is a scholar working on Signal Processing, Biomedical Engineering, Computer Vision and Pattern Recognition, Civil and Structural Engineering and Computational Theory and Mathematics, having authored 15 papers that have together received 616 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (6 papers), Image and Signal Denoising Methods (3 papers), Numerical Methods and Algorithms (3 papers), Manufacturing Process and Optimization (3 papers), Topology Optimization in Engineering (2 papers), Advanced Adaptive Filtering Techniques (2 papers), Advanced Theoretical and Applied Studies in Material Sciences and Geometry (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Signal Processing (495 citations), Computational Mechanics (334 citations), Computer Vision and Pattern Recognition (298 citations), Applied Mathematics (45 citations) and Computational Theory and Mathematics (67 citations). O. Herrmann has collaborated with scholars based in Germany. Frequent co-authors include L. R. Rabiner, D. Chan, J. Kaiser, Ronald W. Schafer, Paul Christoph Gembarski, Roland Lachmayer, Christian Hasse, Michael Farnbacher, Cornelis H. Slump and Martin Raithel. Their work appears in journals such as Electronics Letters, Endoscopy, Sensors, 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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