Andreas Grüneis
Andreas Grüneis publishes mostly in Atomic and Molecular Physics, and Optics, Materials Chemistry and Electrical and Electronic Engineering, on topics such as Advanced Chemical Physics Studies, Machine Learning in Materials Science and Catalytic Processes in Materials Science.
- World rank
- #150,963 of 7,710,434 ranked researchers
- Rank in Austria
- #1,232 of 43,330
- Works
- 110
- Citations
- 5.2k
- Citations per work
- 47.1
What does Andreas Grüneis research?
Andreas Grüneis's work is mostly in Physics and Astronomy (46%), Materials Science (24%), Chemistry (6%).
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 Sciences9182.4%
- Physics and Astronomy5146.0%
- Materials Science2623.7%
- Chemistry76.4%
- Engineering76.3%
- Everything else1917.6%
- 1Atomic and Molecular Physics, and Optics40% of their works
- 2Materials Chemistry24% of their works
- 3Electrical and Electronic Engineering6% of their works
- 4Condensed Matter Physics6% of their works
- 5Inorganic Chemistry4% of their works
- 6Physical and Theoretical Chemistry3% of their works
Research topics
- Advanced Chemical Physics Studies
- Machine Learning in Materials Science
- Catalytic Processes in Materials Science
- Physics of Superconductivity and Magnetism
- Quantum, superfluid, helium dynamics
- Spectroscopy and Quantum Chemical Studies
- Advanced Physical and Chemical Molecular Interactions
- Semiconductor materials and devices
Which keywords describe Andreas Grüneis's research?
The keywords of their largest research topics: Electronic Structure Calculations, Density Functional Theory, Ab Initio Parametrization, Dispersion Correction, Molecular Dynamics, Computational Chemistry, Quantum Mechanics and Machine Learning.
- High-k Dielectrics
- Atomic Layer Deposition
- Photosynthesis
- Helium Nanodroplets
- Cuprate Superconductors
- Catalysis
- Machine Learning
- Computational Chemistry
- Dispersion Correction
- Density Functional Theory
- Electronic Structure Calculations
- Ab Initio Parametrization
- Molecular Dynamics
- Quantum Mechanics
- Materials Informatics
- Nanoparticles
- High-Temperature Superconductivity
- Quantum Turbulence
- Quantum Coherence
- Density-Functional Theory
- Molecular Simulation
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 21 words, with their numbers
- Electronic Structure Calculations732 topics
- Density Functional Theory692 topics
- Ab Initio Parametrization621 topic
- Dispersion Correction621 topic
- Molecular Dynamics433 topics
- Computational Chemistry352 topics
- Quantum Mechanics352 topics
- Machine Learning281 topic
- Materials Informatics281 topic
- Catalysis131 topic
- Nanoparticles131 topic
- Cuprate Superconductors111 topic
- High-Temperature Superconductivity111 topic
- Helium Nanodroplets91 topic
- Quantum Turbulence91 topic
- Photosynthesis81 topic
- Quantum Coherence81 topic
- Atomic Layer Deposition71 topic
- Density-Functional Theory71 topic
- High-k Dielectrics71 topic
- Molecular Simulation71 topic
Where does Andreas Grüneis work?
Andreas Grüneis's main affiliation in the publication record is TU Wien, Austria.
How many publications and citations does Andreas Grüneis have?
OpenAlex counts 110 works and 5,180 citations for Andreas Grüneis, an h-index of 33, ranking #150,963 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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