Dominik Baumann
Dominik Baumann publishes mostly in Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications, on topics such as Reinforcement Learning in Robotics, Machine Learning and Algorithms and Gaussian Processes and Bayesian Inference.
- World rank
- #3,477,761 of 7,710,434 ranked researchers
- Rank in Finland
- #20,764 of 37,370
- Works
- 73
- Citations
- 648
- Citations per work
- 8.9
What does Dominik Baumann research?
Dominik Baumann's work is mostly in Computer Science (44%), Engineering (22%), Decision Sciences (8%).
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 Sciences4865.2%
- Computer Science3243.5%
- Engineering1621.7%
- Everything else2027.1%
- Social Sciences67.7%
- Decision Sciences67.7%
- 1Artificial Intelligence24% of their works
- 2Control and Systems Engineering17% of their works
- 3Computer Networks and Communications14% of their works
- 4Management Science and Operations Research8% of their works
- 5Computational Theory and Mathematics5% of their works
- 6Electrical and Electronic Engineering5% of their works
Research topics
Which keywords describe Dominik Baumann's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Gaussian Processes, Neural Networks, Reinforcement Learning, Active Learning, Bandit Optimization and Bayesian Optimization.
- Process Monitoring
- Cyber-Physical Systems
- Model Predictive Control
- Variational Inference
- Semi-Supervised Learning
- Bayesian Optimization
- Active Learning
- Neural Networks
- Machine Learning
- Deep Learning
- Gaussian Processes
- Reinforcement Learning
- Bandit Optimization
- Clock Synchronization
- Sparse Regression
- Wireless Sensor Networks
- Optimization
- Fault Detection
- Smart Grid
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 19 words, with their numbers
- Deep Learning343 topics
- Machine Learning344 topics
- Gaussian Processes202 topics
- Neural Networks141 topic
- Reinforcement Learning141 topic
- Active Learning101 topic
- Bandit Optimization101 topic
- Bayesian Optimization101 topic
- Clock Synchronization101 topic
- Semi-Supervised Learning101 topic
- Sparse Regression101 topic
- Variational Inference101 topic
- Wireless Sensor Networks101 topic
- Model Predictive Control91 topic
- Optimization91 topic
- Cyber-Physical Systems71 topic
- Fault Detection71 topic
- Process Monitoring71 topic
- Smart Grid71 topic
Where does Dominik Baumann work?
Dominik Baumann's main affiliation in the publication record is Aalto University, Finland.
How many publications and citations does Dominik Baumann have?
OpenAlex counts 73 works and 648 citations for Dominik Baumann, an h-index of 14, ranking #3,477,761 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 Dominik Baumann
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