Matthäus Kleindeßner
Matthäus Kleindeßner publishes mostly in Artificial Intelligence, Safety Research and Computer Vision and Pattern Recognition, on topics such as Ethics and Social Impacts of AI, Adversarial Robustness in Machine Learning and Explainable Artificial Intelligence (XAI).
- World rank
- #2,248,865 of 7,710,434 ranked researchers
- Rank in Germany
- #110,984 of 364,343
- Works
- 36
- Citations
- 443
- Citations per work
- 12.3
What does Matthäus Kleindeßner research?
Matthäus Kleindeßner's work is mostly in Computer Science (64%), Social Sciences (11%), Mathematics (5%).
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 Sciences2569.6%
- Computer Science2364.2%
- Mathematics25.4%
- Everything else515.2%
- Social Sciences515.2%
- Social Sciences410.9%
- Decision Sciences24.3%
- 1Artificial Intelligence53% of their works
- 2Safety Research11% of their works
- 3Computer Vision and Pattern Recognition8% of their works
- 4Statistics and Probability5% of their works
- 5Management Science and Operations Research4% of their works
- 6Computer Networks and Communications3% of their works
Research topics
Which keywords describe Matthäus Kleindeßner's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Neural Networks, Deep Neural Networks, Ethics, Fairness, Adversarial Examples and Interpretable Models.
- Semi-Supervised Learning
- Hyperparameter Optimization
- Face Recognition
- Differential Privacy
- Self-Organizing Maps
- Robustness
- Interpretable Models
- Fairness
- Deep Neural Networks
- Deep Learning
- Machine Learning
- Neural Networks
- Ethics
- Adversarial Examples
- Machine Learning Interpretability
- Backpropagation Learning
- Active Learning
- Dimensionality Reduction
- Federated Learning
- Noisy Labels
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 20 words, with their numbers
- Machine Learning274 topics
- Deep Learning183 topics
- Neural Networks132 topics
- Deep Neural Networks122 topics
- Ethics101 topic
- Fairness101 topic
- Adversarial Examples71 topic
- Interpretable Models71 topic
- Machine Learning Interpretability71 topic
- Robustness71 topic
- Backpropagation Learning61 topic
- Self-Organizing Maps61 topic
- Active Learning51 topic
- Differential Privacy51 topic
- Dimensionality Reduction51 topic
- Face Recognition51 topic
- Federated Learning51 topic
- Hyperparameter Optimization51 topic
- Noisy Labels51 topic
- Semi-Supervised Learning51 topic
Where does Matthäus Kleindeßner work?
Matthäus Kleindeßner's main affiliation in the publication record is Amazon (Germany), Germany.
How many publications and citations does Matthäus Kleindeßner have?
OpenAlex counts 36 works and 443 citations for Matthäus Kleindeßner, an h-index of 13, ranking #2,248,865 of 7,710,434 researchers worldwide on the quality 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.
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