Manfred Opper
Manfred Opper publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability, on topics such as Gaussian Processes and Bayesian Inference, Neural Networks and Applications and Machine Learning and Algorithms.
- World rank
- #42,931 of 1,633,909 ranked researchers
- Rank in Germany
- #3,075 of 86,443
- Works
- 81
- Citations
- 915
- Citations per work
- 11.3
What does Manfred Opper research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence33% of their works
- 2Statistical and Nonlinear Physics12% of their works
- 3Statistics and Probability8% of their works
- 4Molecular Biology7% of their works
- 5Control and Systems Engineering6% of their works
- 6Electrical and Electronic Engineering5% of their works
Research topics
Which keywords describe Manfred Opper's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Gaussian Processes, Sparse Regression, Variational Inference, Neural Networks, Self-Organizing Maps and Inverse Problems.
- System Identification
- Partial Differential Equations
- Model Reduction
- Nonextensive Statistical Mechanics
- Long-Range Interactions
- Semi-Supervised Learning
- Phase Transitions
- Inverse Problems
- Neural Networks
- Sparse Regression
- Machine Learning
- Deep Learning
- Gaussian Processes
- Variational Inference
- Self-Organizing Maps
- Model Selection
- Active Learning
- Bayesian Monte Carlo
- Markov Chain
- Critical Phenomena
- Parameter Estimation
- Random Walk Algorithm
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 22 words, with their numbers
- Deep Learning354 topics
- Machine Learning233 topics
- Gaussian Processes192 topics
- Sparse Regression131 topic
- Variational Inference131 topic
- Neural Networks121 topic
- Self-Organizing Maps121 topic
- Inverse Problems92 topics
- Model Selection92 topics
- Phase Transitions92 topics
- Active Learning61 topic
- Semi-Supervised Learning61 topic
- Bayesian Monte Carlo51 topic
- Long-Range Interactions51 topic
- Markov Chain51 topic
- Nonextensive Statistical Mechanics51 topic
- Critical Phenomena41 topic
- Model Reduction41 topic
- Parameter Estimation41 topic
- Partial Differential Equations41 topic
- Random Walk Algorithm41 topic
- System Identification41 topic
Where does Manfred Opper work?
Manfred Opper's main affiliation in the publication record is Technische Universität Berlin, Germany.
How many publications and citations does Manfred Opper have?
Science Explorer counts 81 works and 915 citations for Manfred Opper, ranking #42,931 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.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.