Dominik Straßel
Dominik Straßel publishes mostly in Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence, on topics such as Cold Atom Physics and Bose-Einstein Condensates, Quantum many-body systems and Physics of Superconductivity and Magnetism.
- World rank
- #5,974,407 of 7,710,434 ranked researchers
- Rank in Germany
- #305,581 of 364,343
- Works
- 18
- Citations
- 65
- Citations per work
- 3.6
What does Dominik Straßel research?
Dominik Straßel's work is mostly in Physics and Astronomy (37%), Computer Science (17%), Earth and Planetary Sciences (10%).
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 Sciences1371.2%
- Physics and Astronomy736.6%
- Computer Science317.3%
- Earth and Planetary Sciences29.6%
- Environmental Science17.7%
- Everything else528.8%
- 1Atomic and Molecular Physics, and Optics21% of their works
- 2Condensed Matter Physics15% of their works
- 3Artificial Intelligence10% of their works
- 4Atmospheric Science10% of their works
- 5Global and Planetary Change8% of their works
- 6Computer Vision and Pattern Recognition8% of their works
Research topics
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum many-body systems
- Physics of Superconductivity and Magnetism
- Adversarial Robustness in Machine Learning
- Meteorological Phenomena and Simulations
- Atmospheric aerosols and clouds
- Theoretical and Computational Physics
- Generative Adversarial Networks and Image Synthesis
Which keywords describe Dominik Straßel's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Neural Networks, Cuprate Superconductors, Entanglement, High-Temperature Superconductivity, Many-Body Localization and Quantum Simulation.
- Generative Adversarial Networks
- Phase Transitions
- Data Assimilation
- Climate
- Adversarial Examples
- Quantum Simulation
- High-Temperature Superconductivity
- Cuprate Superconductors
- Deep Learning
- Machine Learning
- Neural Networks
- Entanglement
- Many-Body Localization
- Ultracold Gases
- Aerosols
- Critical Phenomena
- Ensemble Kalman Filter
- Robustness
- Image Synthesis
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 Learning72 topics
- Deep Learning52 topics
- Neural Networks52 topics
- Cuprate Superconductors41 topic
- Entanglement41 topic
- High-Temperature Superconductivity41 topic
- Many-Body Localization41 topic
- Quantum Simulation41 topic
- Ultracold Gases41 topic
- Adversarial Examples31 topic
- Aerosols31 topic
- Climate31 topic
- Critical Phenomena31 topic
- Data Assimilation31 topic
- Ensemble Kalman Filter31 topic
- Phase Transitions31 topic
- Robustness31 topic
- Generative Adversarial Networks21 topic
- Image Synthesis21 topic
Where does Dominik Straßel work?
Dominik Straßel's main affiliation in the publication record is Fraunhofer-Gesellschaft, Germany.
How many publications and citations does Dominik Straßel have?
OpenAlex counts 18 works and 65 citations for Dominik Straßel, an h-index of 3, ranking #5,974,407 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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