Dominik Kowald
Dominik Kowald publishes mostly in Artificial Intelligence, Information Systems and Sociology and Political Science, on topics such as Recommender Systems and Techniques, Topic Modeling and Privacy-Preserving Technologies in Data.
- World rank
- #272,448 of 7,710,434 ranked researchers
- Rank in Austria
- #1,974 of 43,330
- Works
- 187
- Citations
- 1.3k
- Citations per work
- 6.9
What does Dominik Kowald research?
Dominik Kowald's work is mostly in Computer Science (57%), Social Sciences (6%), Physics and Astronomy (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 Sciences11360.6%
- Computer Science10656.6%
- Physics and Astronomy74.0%
- Everything else6333.9%
- Social Sciences105.5%
- Social Sciences105.5%
- 1Artificial Intelligence26% of their works
- 2Information Systems23% of their works
- 3Sociology and Political Science6% of their works
- 4Computer Vision and Pattern Recognition4% of their works
- 5Statistical and Nonlinear Physics4% of their works
- 6Computer Science Applications4% of their works
Research topics
Which keywords describe Dominik Kowald's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Collaborative Filtering, Matrix Factorization, Machine Learning, Machine Translation, Word Representation and Differential Privacy.
- Machine Learning Interpretability
- Community Structure
- Bandit Optimization
- Ethics
- Graph Neural Networks
- Differential Privacy
- Machine Translation
- Matrix Factorization
- Deep Learning
- Neural Networks
- Collaborative Filtering
- Machine Learning
- Word Representation
- Federated Learning
- Knowledge Graph Embedding
- Fairness
- Bayesian Optimization
- Interpretable Models
- Network Dynamics
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
- Neural Networks1232 topics
- Deep Learning1112 topics
- Collaborative Filtering931 topic
- Matrix Factorization931 topic
- Machine Learning322 topics
- Machine Translation301 topic
- Word Representation301 topic
- Differential Privacy181 topic
- Federated Learning181 topic
- Graph Neural Networks181 topic
- Knowledge Graph Embedding181 topic
- Ethics141 topic
- Fairness141 topic
- Bandit Optimization131 topic
- Bayesian Optimization131 topic
- Community Structure131 topic
- Interpretable Models131 topic
- Machine Learning Interpretability131 topic
- Network Dynamics131 topic
Where does Dominik Kowald work?
Dominik Kowald's main affiliation in the publication record is Know Center Research GmbH (Austria), Austria.
How many publications and citations does Dominik Kowald have?
OpenAlex counts 187 works and 1,283 citations for Dominik Kowald, an h-index of 21, ranking #272,448 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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