Marius Zeinhofer
Marius Zeinhofer publishes mostly in Statistical and Nonlinear Physics, Computational Mechanics and Artificial Intelligence, on topics such as Model Reduction and Neural Networks, Advanced Numerical Methods in Computational Mathematics and Advanced Mathematical Modeling in Engineering.
- World rank
- #3,927,914 of 7,710,434 ranked researchers
- Rank in Norway
- #22,759 of 33,005
- Works
- 45
- Citations
- 112
- Citations per work
- 2.5
What does Marius Zeinhofer research?
Marius Zeinhofer's work is mostly in Engineering (22%), Computer Science (21%), Physics and Astronomy (20%).
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 Sciences3168.0%
- Engineering1021.9%
- Computer Science921.1%
- Physics and Astronomy919.5%
- Materials Science25.5%
- Everything else1432.0%
- 1Statistical and Nonlinear Physics20% of their works
- 2Computational Mechanics18% of their works
- 3Artificial Intelligence13% of their works
- 4Computational Theory and Mathematics8% of their works
- 5Materials Chemistry6% of their works
- 6Biomedical Engineering4% of their works
Research topics
- Model Reduction and Neural Networks
- Advanced Numerical Methods in Computational Mathematics
- Advanced Mathematical Modeling in Engineering
- Machine Learning in Materials Science
- Neural Networks and Applications
- Advanced Numerical Analysis Techniques
- Neural Networks and Reservoir Computing
- Fluid Dynamics and Turbulent Flows
Which keywords describe Marius Zeinhofer's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Model Reduction, Partial Differential Equations, Fluid-Structure Interaction, Discontinuous Galerkin Methods, Finite Element Methods and Heterogeneous.
- Turbulent Flows
- Neuromorphic Photonics
- Finite Elements
- Neural Networks
- Materials Informatics
- Heterogeneous
- Discontinuous Galerkin Methods
- Partial Differential Equations
- Deep Learning
- Machine Learning
- Model Reduction
- Fluid-Structure Interaction
- Finite Element Methods
- High-Throughput
- Multiscale Methods
- Self-Organizing Maps
- NURBS
- Photonic Reservoir Computing
- Vortex 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
- Machine Learning363 topics
- Deep Learning312 topics
- Model Reduction251 topic
- Partial Differential Equations251 topic
- Fluid-Structure Interaction142 topics
- Discontinuous Galerkin Methods91 topic
- Finite Element Methods91 topic
- Heterogeneous71 topic
- High-Throughput71 topic
- Materials Informatics71 topic
- Multiscale Methods71 topic
- Neural Networks61 topic
- Self-Organizing Maps61 topic
- Finite Elements51 topic
- NURBS51 topic
- Neuromorphic Photonics41 topic
- Photonic Reservoir Computing41 topic
- Turbulent Flows41 topic
- Vortex Dynamics41 topic
Where does Marius Zeinhofer work?
Marius Zeinhofer's main affiliation in the publication record is Simula Research Laboratory, Norway.
How many publications and citations does Marius Zeinhofer have?
OpenAlex counts 45 works and 112 citations for Marius Zeinhofer, an h-index of 6, ranking #3,927,914 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.
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