Norbert Kaiblinger

429 citations
25 papers · 233 · h-index 8

Impact in

Papers in

Norbert Kaiblinger

24 papers receiving 212 citations

Peers

Norbert Kaiblinger
Comparison fields: 5 of 43
  • Applied Mathematics 164
  • Computer Vision and Pattern Recognition 109
  • Signal Processing 53
  • Discrete Mathematics and Combinatorics 14
  • Mathematical Physics 38
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Citations per field
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Citations per year

Countries citing papers authored by Norbert Kaiblinger

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Kaiblinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200353
2 200728
3 200325
4 200524
5 201318
6 200612
7
A low-complexity PAR-reductions method for DMT-VDSL
199912
8 201210
9 20107
10 20096
11 20055
12 20214
13
DMT PAR-reduction by weighted cancellation waveforms
19994
14 20233
15 20063
16 20083
17 20193
18 20063
19 20243
20 20122

About Norbert Kaiblinger

Norbert Kaiblinger is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computational Mechanics and Spectroscopy, having authored 25 papers that have together received 233 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (12 papers), Image and Signal Denoising Methods (6 papers), Algebraic and Geometric Analysis (2 papers), Analytical Chemistry and Chromatography (2 papers), Power Line Communications and Noise (2 papers), Advanced Numerical Analysis Techniques (2 papers), Digital Filter Design and Implementation (2 papers) and Holomorphic and Operator Theory (2 papers). The work is most often cited by research in Applied Mathematics (164 citations), Computer Vision and Pattern Recognition (109 citations), Signal Processing (53 citations), Discrete Mathematics and Combinatorics (14 citations) and Mathematical Physics (38 citations). Norbert Kaiblinger has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Hans G. Feichtinger, Karlheinz Gröchenig, Michiel Hazewinkel, Götz E. Pfander, A. J. E. M. Janssen, Niklas Grip, Marcin Bownik, Lars‐Erik Persson, Per Ola Börjesson and Bernhard Spangl. Their work appears in journals such as Transactions of the American Mathematical Society, Adsorption, Journal of Mathematical Analysis and Applications, Applied and Computational Harmonic Analysis and Journal of Fourier Analysis and Applications.

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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