D-Index & Metrics Best Publications
Computer Science
Germany
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 139 Citations 99,681 733 World Ranking 27 National Ranking 3

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Germany Leader Award

2022 - Research.com Computer Science in Germany Leader Award

Overview

What are the main themes of his work throughout his whole career to date

Internal medicine is often connected to Receiver operating characteristic in his work. His study on Receiver operating characteristic is mostly dedicated to connecting different topics, such as Internal medicine. His work in Cardiology is not limited to one particular discipline; it also encompasses Angina. In his works, Klaus-Robert Müller conducts interdisciplinary research on Angina and Ischemia. Klaus-Robert Müller performs integrative study on Ischemia and Unstable angina in his works. Klaus-Robert Müller conducted interdisciplinary study in his works that combined Unstable angina and Coronary artery disease. His research on Coronary artery disease frequently connects to adjacent areas such as Stable angina. His Stable angina study frequently draws connections to adjacent fields such as Cardiology. His work on Natriuretic peptide expands to the thematically related Heart failure.

Klaus-Robert Müller most often published in these fields:

  • Internal medicine (66.67%)
  • Cardiology (66.67%)
  • Heart failure (66.67%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Nonlinear component analysis as a kernel eigenvalue problem

Bernhard Schölkopf;Alexander Smola;Klaus-Robert Müller.
Neural Computation (1998)

10158 Citations

An introduction to kernel-based learning algorithms

K.-R. Muller;S. Mika;G. Ratsch;K. Tsuda.
IEEE Transactions on Neural Networks (2001)

4752 Citations

Efficient BackProp

Yann LeCun;Léon Bottou;Genevieve B. Orr;Klaus-Robert Müller.
neural information processing systems (1998)

4547 Citations

Kernel Principal Component Analysis

Bernhard Schölkopf;Alex J. Smola;Klaus-Robert Müller.
international conference on artificial neural networks (1997)

2773 Citations

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation.

Sebastian Bach;Alexander Binder;Grégoire Montavon;Frederick Klauschen.
PLOS ONE (2015)

2576 Citations

Kernel Principal Component Analysis

Bernhard Schölkopf;Alexander J. Smola;Klaus-Robert Müller.
international conference on artificial neural networks (1997)

2381 Citations

Optimizing Spatial filters for Robust EEG Single-Trial Analysis

B. Blankertz;R. Tomioka;S. Lemm;M. Kawanabe.
IEEE Signal Processing Magazine (2008)

2020 Citations

Input space versus feature space in kernel-based methods

B. Scholkopf;S. Mika;C.J.C. Burges;P. Knirsch.
IEEE Transactions on Neural Networks (1999)

1660 Citations

Soft Margins for AdaBoost

G. Rätsch;T. Onoda;K.-R. Müller.
Machine Learning (2001)

1658 Citations

Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning

Matthias Rupp;Matthias Rupp;Alexandre Tkatchenko;Alexandre Tkatchenko;Klaus Robert Müller;Klaus Robert Müller;O. Anatole Von Lilienfeld;O. Anatole Von Lilienfeld.
Physical Review Letters (2012)

1635 Citations

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