K. Müller
Impact in
- Cognitive Neuroscience top 0.2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Signal Processing top 0.1%
- Blind Source Separation Techniques
Papers in
-
- EEG and Brain-Computer Interfaces 35
- Neural dynamics and brain function 22
-
- Neural Networks and Applications 16
- Anomaly Detection Techniques and Applications 7
- Co-authors
- Gunnar Rätsch (10 shared papers)Bernhard Schölkopf (6 shared papers)Kristof T. Schütt (6 shared papers)Benjamin Blankertz (17 shared papers)Alexandre Tkatchenko (5 shared papers)Koji Tsuda (1 shared paper)Gabriel Curio (12 shared papers)Takashi Onoda (5 shared papers)
- Journals
- IEEE Transactions on Biomedical Engineering (9 papers)Helvetica Chimica Acta (8 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (7 papers)European Food Research and Technology (4 papers)NeuroImage (3 papers)
- Partner nations
- GermanySouth KoreaUnited States
In The Last Decade
K. Müller
148 papers receiving 14.3k citations
K. Müller's Hit Papers
Peers
Comparison fields: 5 of 207
- Cognitive Neuroscience 4.7k
- Signal Processing 2.3k
- Human-Computer Interaction 779
- Computational Theory and Mathematics 1.8k
- Computer Vision and Pattern Recognition 2.3k
Countries citing papers authored by K. Müller
This map shows the geographic impact of K. 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. 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. Müller more than expected).
Fields of papers citing papers by K. Müller
This network shows the impact of papers produced by K. 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. Müller. The network helps show where K. Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Müller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An introduction to kernel-based learning algorithms Hit paper breakdown → | 2001 | 2500 |
| 2 | SchNet – A deep learning architecture for molecules and materials Hit paper breakdown → | 2018 | 1469 |
| 3 | Quantum-chemical insights from deep tensor neural networks Hit paper breakdown → | 2017 | 990 |
| 4 | Soft Margins for AdaBoost Hit paper breakdown → | 2001 | 913 |
| 5 | Input space versus feature space in kernel-based methods Hit paper breakdown → | 1999 | 825 |
| 6 | The BCI competition III: validating alternative approaches to actual BCI problems Hit paper breakdown → | 2006 | 702 |
| 7 | Spatio-spectral filters for improving the classification of single trial EEG Hit paper breakdown → | 2005 | 506 |
| 8 | Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms Hit paper breakdown → | 2004 | 503 |
| 9 | The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials Hit paper breakdown → | 2004 | 501 |
| 10 | 2014 | 350 | |
| 11 | SchNetPack: A Deep Learning Toolbox For Atomistic Systems Hit paper breakdown → | 2018 | 320 |
| 12 | 2006 | 315 | |
| 13 | Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions Hit paper breakdown → | 2019 | 307 |
| 14 | 2000 | 280 | |
| 15 | 2014 | 276 | |
| 16 | 2003 | 269 | |
| 17 | 1997 | 256 | |
| 18 | 2006 | 235 | |
| 19 | 2010 | 229 | |
| 20 | 1980 | 190 |
About K. Müller
K. Müller is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 161 papers that have together received 15.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (35 papers), Neural dynamics and brain function (22 papers), Blind Source Separation Techniques (17 papers), Neural Networks and Applications (16 papers), Neuroscience and Neural Engineering (15 papers), Mycobacterium research and diagnosis (7 papers), Machine Learning in Materials Science (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Cognitive Neuroscience (4.7k citations), Signal Processing (2.3k citations), Human-Computer Interaction (779 citations), Computational Theory and Mathematics (1.8k citations) and Computer Vision and Pattern Recognition (2.3k citations). K. Müller has collaborated with scholars based in Germany, South Korea and United States. Frequent co-authors include Gunnar Rätsch, Bernhard Schölkopf, Kristof T. Schütt, Benjamin Blankertz, Alexandre Tkatchenko, Koji Tsuda, Gabriel Curio, Takashi Onoda, Huziel E. Sauceda and Pieter-Jan Kindermans. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Helvetica Chimica Acta, IEEE Transactions on Neural Systems and Rehabilitation Engineering, European Food Research and Technology and NeuroImage.
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.