K. Müller

23.5k total citations · 10 hit papers
160 papers, 14.9k citations indexed

About

K. Müller is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing. According to data from OpenAlex, K. Müller has authored 160 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 30 papers in Artificial Intelligence and 25 papers in Signal Processing. Recurrent topics in K. Müller's work include EEG and Brain-Computer Interfaces (35 papers), Neural dynamics and brain function (23 papers) and Blind Source Separation Techniques (18 papers). K. Müller is often cited by papers focused on EEG and Brain-Computer Interfaces (35 papers), Neural dynamics and brain function (23 papers) and Blind Source Separation Techniques (18 papers). K. Müller collaborates with scholars based in Germany, United States and South Korea. K. Müller's co-authors include Gunnar Rätsch, Bernhard Schölkopf, Mika Sirén, Kristof T. Schütt, Benjamin Blankertz, Alexandre Tkatchenko, Koji Tsuda, Gabriel Curio, Takashi Onoda and Huziel E. Sauceda and has published in prestigious journals such as Nature, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

K. Müller

148 papers receiving 14.1k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An introduction to kernel-based learning algorithms

2001 2.5k citations K. Müller, Mika Sirén et al. IEEE Transactions on Neural Networks profile →
SchNet – A deep learning architecture for molecules and materials

2018 1.4k citations Kristof T. Schütt, Alexandre Tkatchenko et al. profile →
Quantum-chemical insights from deep tensor neural networks

2017 967 citations Kristof T. Schütt, K. Müller et al. profile →
Soft Margins for AdaBoost

2001 912 citations Gunnar Rätsch, Takashi Onoda et al. profile →
Input space versus feature space in kernel-based methods

1999 823 citations Bernhard Schölkopf, Mika Sirén et al. IEEE Transactions on Neural Networks profile →
The BCI competition III: validating alternative approaches to actual BCI problems

2006 694 citations Benjamin Blankertz, K. Müller et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering profile →
Spatio-spectral filters for improving the classification of single trial EEG

2005 503 citations Benjamin Blankertz, Gabriel Curio et al. profile →
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

2004 501 citations Guido Dornhege, Benjamin Blankertz et al. profile →
SchNetPack: A Deep Learning Toolbox For Atomistic Systems

2018 305 citations Kristof T. Schütt, Alexandre Tkatchenko et al. Journal of Chemical Theory and Computation profile →
Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions

2019 303 citations Kristof T. Schütt, Alexandre Tkatchenko et al. profile →

Peers

Countries citing papers authored by K. Müller

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of K. Müller

This figure shows the co-authorship network connecting the top 25 collaborators of K. Müller. A scholar is included among the top collaborators of K. Müller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Müller. K. Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Sense of belonging in a large enrollment general chemistry course: change over a semester, gender and ethnic group differences 2025 ·Chemistry Education Research and Practice ·(unknown), K. Müller, (unknown), (unknown), (unknown)	2
2	Analyzing Atomic Interactions in Molecules as Learned by Neural Networks 2025 ·Journal of Chemical Theory and Computation ·(unknown), (unknown), Jonas Lederer, Adil Kabylda, Grégoire Montavon, Alexandre Tkatchenko, K. Müller	6
3	Aligning machine and human visual representations across abstraction levels 2025 ·Nature ·(unknown), Klaus Greff, (unknown), Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, K. Müller, Thomas Unterthiner, Andrew K. Lampinen	0
4	Explainable Deep One-Class Classification 2021 ·arXiv (Cornell University) ·(unknown), Lukas Ruff, Robert A. Vandermeulen, (unknown), Marius Kloft, K. Müller	9
5	An Empirical Study on The Properties of Random Bases for Kernel Methods 2017 ·neural information processing systems ·Maximilian Alber, (unknown), Kristof T. Schütt, K. Müller, Fei Sha	0
6	Wie schneiden Schülerinnen und Schüler an Förderschulen bei PISA ab?: Analysen aus der PISA 2012-Zusatzerhebung zu Jugendlichen mit sonderpädagogischem Förderbedarf 2017 ·Unterrichtswissenschaft ·K. Müller, Manfred Prenzel, (unknown), (unknown), Jörg-Henrik Heine, Markus Gebhardt	3
7	Wasserstein Training of Restricted Boltzmann Machines 2016 ·neural information processing systems ·Grégoire Montavon, K. Müller, Marco Cuturi	34
8	Learning and Evaluation in Presence of Non-i.i.d. Label Noise 2014 ·Journal of Machine Learning Research ·Nico Görnitz, Anne K. Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, K. Müller, Marius Kloft	1
9	Deep Boltzmann Machines as Feed-Forward Hierarchies 2012 ·International Conference on Artificial Intelligence and Statistics ·Grégoire Montavon, Mikio L. Braun, K. Müller	6
10	The Berlin brain-computer interface: EEG-based communication without subject training 2006 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, K. Müller, Volker Kunzmann, Florian Losch, Gabriel Curio	235
11	The BCI competition III: validating alternative approaches to actual BCI problems breakdown → 2006 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Benjamin Blankertz, K. Müller, Dean J. Krusienski, Gerwin Schalk, Jonathan R. Wolpaw, Alois Schlögl, G. Pfurtscheller, José del R. Millán, Michael Schröder, Niels Birbaumer	694
12	BCI meeting 2005-workshop on BCI signal processing: feature extraction and translation 2006 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Dennis J. McFarland, Charles W. Anderson, K. Müller, Alois Schlögl, Dean J. Krusienski	143
13	Input space versus feature space in kernel-based methods breakdown → 1999 ·IEEE Transactions on Neural Networks ·Bernhard Schölkopf, Mika Sirén, Christopher J. C. Burges, (unknown), K. Müller, Gunnar Rätsch, Alexander J. Smola	823
14	An Improvement of AdaBoost to Avoid Overfitting 1998 ·International Conference on Neural Information Processing ·(unknown), Takashi Onoda, K. Müller	41
15	Analysis of switching dynamics with competing neural networks 1995 ·IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ·K. Müller, Jens Kohlmorgen, Klaus Pawelzik	26
16	Überblick über thermometrische Untersuchungen zum Ermüdungsverhalten von Stählen 1986 ·HTM Journal of Heat Treatment and Materials ·(unknown), (unknown), K. Müller	9
17	Reaction Paths on Multidimensional Energy Hypersurfaces 1980 ·Angewandte Chemie International Edition in English ·K. Müller	189
18	Reaktionswege auf mehrdimensionalen Energiehyperflächen 1980 ·Angewandte Chemie ·K. Müller	47
19	Auswahl von Fluorkunststoffen Diskussion zu “Veränderung von Stahloberflächen durch Reibung” 1972 ·Materialwissenschaft und Werkstofftechnik ·K. Müller	1
20	Ökologisch‐vegetationskundliche Untersuchungen in ostfriesischen Hochmooren¹ 1968 ·Berichte der Deutschen Botanischen Gesellschaft ·K. Müller	2

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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