Bernhard Schölkopf
Bernhard Schölkopf publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, on topics such as Neural Networks and Applications, Bayesian Modeling and Causal Inference and Face and Expression Recognition.
- World rank
- #46,036 of 7,710,434 ranked researchers
- Rank in Germany
- #2,656 of 364,343
- Works
- 1,416
- Citations
- 148k
- Citations per work
- 104.8
What does Bernhard Schölkopf research?
Bernhard Schölkopf's work is mostly in Computer Science (46%), Neuroscience (5%), Engineering (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences75853.5%
- Computer Science64945.8%
- Engineering574.0%
- Mathematics523.7%
- Everything else53037.4%
- Life Sciences1299.1%
- 1Artificial Intelligence32% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Cognitive Neuroscience5% of their works
- 4Control and Systems Engineering4% of their works
- 5Statistics and Probability4% of their works
- 6Molecular Biology4% of their works
Research topics
Which keywords describe Bernhard Schölkopf's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Self-Organizing Maps, Gaussian Processes, Machine Learning, Semi-Supervised Learning, Meta-Learning and Bayesian Networks.
- Brain-Computer Interfaces
- Domain Adaptation
- Sparse Regression
- Hyperparameter Optimization
- Active Learning
- Dimensionality Reduction
- Bayesian Networks
- Semi-Supervised Learning
- Gaussian Processes
- Neural Networks
- Deep Learning
- Self-Organizing Maps
- Machine Learning
- Meta-Learning
- Causal Inference
- Face Recognition
- Image Classification
- Noisy Labels
- Variational Inference
- Transfer Learning
- EEG Analysis
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 21 words, with their numbers
- Deep Learning3683 topics
- Neural Networks1911 topic
- Self-Organizing Maps1911 topic
- Gaussian Processes1772 topics
- Machine Learning1772 topics
- Semi-Supervised Learning1742 topics
- Meta-Learning1632 topics
- Bayesian Networks1281 topic
- Causal Inference1281 topic
- Dimensionality Reduction1251 topic
- Face Recognition1251 topic
- Active Learning971 topic
- Image Classification971 topic
- Hyperparameter Optimization861 topic
- Noisy Labels861 topic
- Sparse Regression801 topic
- Variational Inference801 topic
- Domain Adaptation771 topic
- Transfer Learning771 topic
- Brain-Computer Interfaces661 topic
- EEG Analysis661 topic
Where does Bernhard Schölkopf work?
Bernhard Schölkopf's main affiliation in the publication record is Max Planck Institute for Intelligent Systems, Germany.
How many publications and citations does Bernhard Schölkopf have?
OpenAlex counts 1,416 works and 148,369 citations for Bernhard Schölkopf, an h-index of 142, ranking #46,036 of 7,710,434 researchers worldwide on the quality 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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