K-R Müller

17 papers receiving 547 citations

Peers

K-R Müller
Comparison fields: 5 of 78
  • Cognitive Neuroscience 240
  • Cellular and Molecular Neuroscience 198
  • Biomedical Engineering 343
  • Signal Processing 88
  • Human-Computer Interaction 35
Replace Shuyue Jia with:
Shuyue Jia China
Kyuwan Choi Japan
Önder Aydemir Türkiye
Xiaoke Fang China
Giulia Cisotto Italy
C.R. Hema Malaysia
Xiangmin Lun China
Chun Sing Louis Tsui United Kingdom
Hyohyeong Kang South Korea
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Citations per field
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Citations per year

Countries citing papers authored by K-R Müller

Since Specialization
Citations

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

Fields of papers citing papers by K-R Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K-R Müller. 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 K-R Müller. The network helps show where K-R Müller may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012355
2
General cost functions for support vector regression.
199862
3 201237
4
Nonlinear blind source separation using kernel feature spaces
200127
5 200921
6
Separation of post-nonlinear mixtures using ACE and temporal decorrelation
200121
7 202114
8
Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation
200312
9 20129
10 20165
11 20102
12
Analysing ICA component by injection noise
20032
13 20091
14 20221
15 20121
16
An asymptotical Analysis and Improvement of AdaBoost in the binary classification case
20001
17 20041

About K-R Müller

K-R Müller is a scholar working on Signal Processing, Artificial Intelligence, Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 17 papers that have together received 572 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (5 papers), Neuroscience and Neural Engineering (3 papers), Muscle activation and electromyography studies (3 papers), EEG and Brain-Computer Interfaces (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Speech and Audio Processing (2 papers), Neural Networks and Applications (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (240 citations), Cellular and Molecular Neuroscience (198 citations), Biomedical Engineering (343 citations), Signal Processing (88 citations) and Human-Computer Interaction (35 citations). K-R Müller has collaborated with scholars based in Germany, South Korea and New Zealand. Frequent co-authors include Ning Jiang, Dario Farina, Strahinja Došen, T. Downs, Marcus Gallagher, AJ Smola, Bernhard Schölkopf, Marcus Frean, Paul von Bünau and Duncan A. J. Blythe. Their work appears in journals such as Journal of Cheminformatics, New Zealand Veterinary Journal, IEEE Transactions on Neural Networks and Learning Systems, IEEE Signal Processing Magazine and Journal of Neural Engineering.

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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