Thomas Fechner

1.8k citations
32 papers · 333 indexed · h-index 9

Thomas Fechner

28 papers receiving 315 citations

Peers

Thomas Fechner
Comparison fields: 5 of 56
  • Instrumentation 63
  • Media Technology 107
  • Astronomy and Astrophysics 122
  • Computer Vision and Pattern Recognition 87
  • Biophysics 10
Replace Wenli Xu with:
Wenli Xu Germany
Bo Qiu China
Petr Páta Czechia
S. Vítek Czechia
D. Sudheer Reddy India
Hirohisa Kurosaki Japan
A. D. Chacon Spain
Lynton Ardizzone Germany
Yanxia Xie China
Xiyang Zhi China
Thomas Fechner relative to Wenli Xu Germany Wenli Xu's profile →
Citations per field
00.5×6.3×
Wenli Xu · 1×
Citations per year

Countries citing papers authored by Thomas Fechner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Fechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Thomas Fechner, 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 Thomas Fechner Line = papers co-authored together Thomas Fechner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20220
3 20222
4 20220
5 20204
6 20170
7 20173
8 20164
9 201517
10 20152
11 20124
12 201031
13 20052
14 20041
15 200460
16 20044
17 200014
18 1998105
19 19948
20
Nonlinear noise filtering with neural networks: comparison with Weiner optimal filtering
19939

About Thomas Fechner

Thomas Fechner is a scholar working on Instrumentation, Biophysics, Atomic and Molecular Physics, and Optics, Ocean Engineering and Astronomy and Astrophysics, having authored 32 papers that have together received 333 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (8 papers), Astronomy and Astrophysical Research (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Stellar, planetary, and galactic studies (4 papers), Spectroscopy and Laser Applications (4 papers), Atmospheric Ozone and Climate (3 papers), Geophysical Methods and Applications (3 papers) and Seismic Waves and Analysis (3 papers). The work is most often cited by research in Instrumentation (63 citations), Media Technology (107 citations), Astronomy and Astrophysics (122 citations), Computer Vision and Pattern Recognition (87 citations) and Biophysics (10 citations). Thomas Fechner has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Emil Popow, Frank Dionies, Svend‐Marian Bauer, J. Bartus, T. Granzer, J. Paschke, M. Weber, M. Woche, Martin M. Roth and K. G. Strassmeier. Their work appears in journals such as Journal of Raman Spectroscopy, The Leading Edge, Experimental Astronomy, Astronomische Nachrichten and Advances in Astronomy.

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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