Maximilian Poretschkin
Maximilian Poretschkin publishes mostly in Artificial Intelligence, Safety Research and Nuclear and High Energy Physics, on topics such as Ethics and Social Impacts of AI, Artificial Intelligence in Healthcare and Education and Adversarial Robustness in Machine Learning.
- World rank
- #2,086,056 of 7,710,434 ranked researchers
- Rank in Germany
- #102,952 of 364,343
- Works
- 25
- Citations
- 475
- Citations per work
- 19.0
What does Maximilian Poretschkin research?
Maximilian Poretschkin's work is mostly in Computer Science (25%), Mathematics (16%), Social Sciences (14%).
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 Sciences1353.5%
- Computer Science624.6%
- Mathematics415.9%
- Physics and Astronomy313.0%
- Everything else520.4%
- Social Sciences414.5%
- Social Sciences414.5%
- Health Sciences311.6%
- Medicine311.6%
- 1Artificial Intelligence25% of their works
- 2Safety Research14% of their works
- 3Nuclear and High Energy Physics13% of their works
- 4Health Informatics12% of their works
- 5Geometry and Topology9% of their works
- 6Mathematical Physics7% of their works
Research topics
- Ethics and Social Impacts of AI
- Artificial Intelligence in Healthcare and Education
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Black Holes and Theoretical Physics
- Homotopy and Cohomology in Algebraic Topology
- Particle physics theoretical and experimental studies
- Topic Modeling
Which keywords describe Maximilian Poretschkin's research?
The keywords of their largest research topics: Machine Learning, Artificial Intelligence, Big Data, Ethics, Fairness, Healthcare, Medical Imaging and Neural Networks.
- Word Representation
- Poisson Manifolds
- High-Energy Collider
- Machine Learning Interpretability
- Holographic
- Deep Learning
- Neural Networks
- Healthcare
- Ethics
- Artificial Intelligence
- Machine Learning
- Big Data
- Fairness
- Medical Imaging
- Adversarial Examples
- Field Theories
- Interpretable Models
- Deformation Quantization
- Particle Physics
- Machine Translation
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 Learning243 topics
- Artificial Intelligence182 topics
- Big Data182 topics
- Ethics101 topic
- Fairness101 topic
- Healthcare81 topic
- Medical Imaging81 topic
- Neural Networks82 topics
- Adversarial Examples61 topic
- Deep Learning61 topic
- Field Theories51 topic
- Holographic51 topic
- Interpretable Models51 topic
- Machine Learning Interpretability51 topic
- Deformation Quantization31 topic
- High-Energy Collider31 topic
- Particle Physics31 topic
- Poisson Manifolds31 topic
- Machine Translation21 topic
- Word Representation21 topic
Where does Maximilian Poretschkin work?
Maximilian Poretschkin's main affiliation in the publication record is Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany.
How many publications and citations does Maximilian Poretschkin have?
OpenAlex counts 25 works and 475 citations for Maximilian Poretschkin, an h-index of 10, ranking #2,086,056 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.
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.
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