Klaus‐Robert Müller
Klaus‐Robert Müller publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition, on topics such as Explainable Artificial Intelligence (XAI), EEG and Brain-Computer Interfaces and Adversarial Robustness in Machine Learning.
- World rank
- #6,392 of 1,633,909 ranked researchers
- Rank in Germany
- #705 of 86,443
- Works
- 151
- Citations
- 2.5k
- Citations per work
- 16.9
What does Klaus‐Robert Müller research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence36% of their works
- 2Cognitive Neuroscience13% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Signal Processing6% of their works
- 5Materials Chemistry5% of their works
- 6Electrical and Electronic Engineering3% of their works
Research topics
- Explainable Artificial Intelligence (XAI)
- EEG and Brain-Computer Interfaces
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
- Neural dynamics and brain function
- Neural Networks and Applications
- Machine Learning in Materials Science
- Anomaly Detection Techniques and Applications
Which keywords describe Klaus‐Robert Müller's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Deep Neural Networks, Machine Learning, Interpretable Models, Machine Learning Interpretability, Brain-Computer Interfaces and EEG Analysis.
- Unsupervised
- Materials Informatics
- Self-Organizing Maps
- Cortical Networks
- Robustness
- Hyperparameter Optimization
- EEG Analysis
- Machine Learning Interpretability
- Machine Learning
- Neural Networks
- Deep Learning
- Deep Neural Networks
- Interpretable Models
- Brain-Computer Interfaces
- Adversarial Examples
- Noisy Labels
- Backpropagation Learning
- Neuronal Oscillations
- High-Throughput
- Anomaly Detection
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 20 words, with their numbers
- Deep Learning293 topics
- Neural Networks293 topics
- Deep Neural Networks282 topics
- Machine Learning202 topics
- Interpretable Models171 topic
- Machine Learning Interpretability171 topic
- Brain-Computer Interfaces151 topic
- EEG Analysis151 topic
- Adversarial Examples111 topic
- Hyperparameter Optimization111 topic
- Noisy Labels111 topic
- Robustness111 topic
- Backpropagation Learning101 topic
- Cortical Networks101 topic
- Neuronal Oscillations101 topic
- Self-Organizing Maps101 topic
- High-Throughput91 topic
- Materials Informatics91 topic
- Anomaly Detection81 topic
- Unsupervised81 topic
Where does Klaus‐Robert Müller work?
Klaus‐Robert Müller's main affiliation in the publication record is Technische Universität Berlin, Germany.
How many publications and citations does Klaus‐Robert Müller have?
Science Explorer counts 151 works and 2,546 citations for Klaus‐Robert Müller, ranking #6,392 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
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