Timo Klock
Timo Klock publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Computational Mechanics, on topics such as Neural Networks and Applications, Stochastic Gradient Optimization Techniques and Model Reduction and Neural Networks.
- World rank
- #2,926,102 of 7,710,434 ranked researchers
- Rank in Norway
- #17,805 of 33,005
- Works
- 20
- Citations
- 136
- Citations per work
- 6.8
What does Timo Klock research?
Timo Klock's work is mostly in Computer Science (42%), Physics and Astronomy (12%), Engineering (7%).
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 Sciences1366.8%
- Computer Science841.7%
- Physics and Astronomy211.7%
- Engineering16.7%
- Mathematics16.7%
- Everything else733.2%
- 1Artificial Intelligence32% of their works
- 2Statistical and Nonlinear Physics12% of their works
- 3Computational Mechanics7% of their works
- 4Statistics and Probability7% of their works
- 5Computer Networks and Communications5% of their works
- 6Computer Vision and Pattern Recognition5% of their works
Research topics
Which keywords describe Timo Klock's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Convex Optimization, Backpropagation Learning, Random Projections, Self-Organizing Maps and Stochastic Gradient Descent.
- Variable Selection
- Regularization
- Multi-Agent Systems
- Sparse Representation
- Compressed Sensing
- Partial Differential Equations
- Stochastic Gradient Descent
- Random Projections
- Convex Optimization
- Neural Networks
- Deep Learning
- Machine Learning
- Backpropagation Learning
- Self-Organizing Maps
- Model Reduction
- Active Learning
- Semi-Supervised Learning
- Consensus
- Multilinear Algebra
- Tensor Decomposition
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 20 words, with their numbers
- Deep Learning214 topics
- Neural Networks122 topics
- Machine Learning113 topics
- Convex Optimization102 topics
- Backpropagation Learning61 topic
- Random Projections61 topic
- Self-Organizing Maps61 topic
- Stochastic Gradient Descent61 topic
- Model Reduction51 topic
- Partial Differential Equations51 topic
- Active Learning41 topic
- Compressed Sensing41 topic
- Semi-Supervised Learning41 topic
- Sparse Representation41 topic
- Consensus31 topic
- Multi-Agent Systems31 topic
- Multilinear Algebra21 topic
- Regularization21 topic
- Tensor Decomposition21 topic
- Variable Selection21 topic
Where does Timo Klock work?
Timo Klock's main affiliation in the publication record is Simula Research Laboratory, Norway.
How many publications and citations does Timo Klock have?
OpenAlex counts 20 works and 136 citations for Timo Klock, an h-index of 6, ranking #2,926,102 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.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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