Jürgen Schmidhuber
Jürgen Schmidhuber publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications and Neural Networks and Applications.
- World rank
- #55,451 of 7,710,434 ranked researchers
- Rank in Switzerland
- #1,177 of 80,918
- Works
- 552
- Citations
- 188k
- Citations per work
- 340.7
What does Jürgen Schmidhuber research?
Jürgen Schmidhuber's work is mostly in Computer Science (72%), Engineering (2%), Neuroscience (2%).
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 Sciences41074.3%
- Computer Science39771.9%
- Engineering132.4%
- Everything else13023.5%
- Life Sciences122.2%
- Neuroscience122.2%
- 1Artificial Intelligence48% of their works
- 2Computer Vision and Pattern Recognition13% of their works
- 3Computational Theory and Mathematics6% of their works
- 4Signal Processing5% of their works
- 5Control and Systems Engineering2% of their works
- 6Cognitive Neuroscience2% of their works
Research topics
Which keywords describe Jürgen Schmidhuber's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Reinforcement Learning, Robotics, Classification, Genetic Programming and Backpropagation Learning.
- Active Learning
- Convolutional Neural Networks
- Domain Adaptation
- Machine Translation
- Algorithmic Information Theory
- Semi-Supervised Learning
- Backpropagation Learning
- Classification
- Reinforcement Learning
- Neural Networks
- Deep Learning
- Machine Learning
- Robotics
- Genetic Programming
- Self-Organizing Maps
- Image Classification
- Computability
- Word Representation
- Transfer Learning
- Image Recognition
- Gaussian Processes
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Deep Learning2884 topics
- Neural Networks2653 topics
- Machine Learning1432 topics
- Reinforcement Learning1211 topic
- Robotics1211 topic
- Classification1121 topic
- Genetic Programming1121 topic
- Backpropagation Learning1011 topic
- Self-Organizing Maps1011 topic
- Semi-Supervised Learning682 topics
- Image Classification662 topics
- Algorithmic Information Theory601 topic
- Computability601 topic
- Machine Translation431 topic
- Word Representation431 topic
- Domain Adaptation371 topic
- Transfer Learning371 topic
- Convolutional Neural Networks351 topic
- Image Recognition351 topic
- Active Learning311 topic
- Gaussian Processes311 topic
Where does Jürgen Schmidhuber work?
Jürgen Schmidhuber's main affiliation in the publication record is Dalle Molle Institute for Artificial Intelligence Research, Switzerland.
How many publications and citations does Jürgen Schmidhuber have?
OpenAlex counts 552 works and 188,049 citations for Jürgen Schmidhuber, an h-index of 89, ranking #55,451 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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.
Other researchers named Jürgen Schmidhuber
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