Frank Noé
Frank Noé publishes mostly in Molecular Biology, Materials Chemistry and Statistical and Nonlinear Physics, on topics such as Protein Structure and Dynamics, Machine Learning in Materials Science and Spectroscopy and Quantum Chemical Studies.
- World rank
- #132,589 of 1,633,909 ranked researchers
- Rank in Germany
- #8,312 of 86,443
- Works
- 68
- Citations
- 466
- Citations per work
- 6.9
What does Frank Noé research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Molecular Biology25% of their works
- 2Materials Chemistry14% of their works
- 3Statistical and Nonlinear Physics13% of their works
- 4Atomic and Molecular Physics, and Optics11% of their works
- 5Artificial Intelligence9% of their works
- 6Spectroscopy3% of their works
Research topics
- Protein Structure and Dynamics
- Machine Learning in Materials Science
- Spectroscopy and Quantum Chemical Studies
- Model Reduction and Neural Networks
- Advanced Thermodynamics and Statistical Mechanics
- Advanced biosensing and bioanalysis techniques
- Advanced Biosensing Techniques and Applications
- Gaussian Processes and Bayesian Inference
Which keywords describe Frank Noé's research?
The keywords of their largest research topics: Molecular Dynamics, Machine Learning, Protein, Structure, High-Throughput, Materials Informatics, Deep Learning and Model Reduction.
- Self-Assembly
- High-Throughput Analysis
- DNA nanotechnology
- Fluctuation Theorems
- Photosynthesis
- Model Reduction
- Materials Informatics
- Structure
- Machine Learning
- Molecular Dynamics
- Protein
- High-Throughput
- Deep Learning
- Partial Differential Equations
- Quantum Coherence
- Stochastic Thermodynamics
- Gaussian Processes
- Protein Microarrays
- Variational Inference
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 19 words, with their numbers
- Molecular Dynamics283 topics
- Machine Learning193 topics
- Protein121 topic
- Structure121 topic
- High-Throughput101 topic
- Materials Informatics101 topic
- Deep Learning92 topics
- Model Reduction61 topic
- Partial Differential Equations61 topic
- Photosynthesis61 topic
- Quantum Coherence61 topic
- Fluctuation Theorems41 topic
- Stochastic Thermodynamics41 topic
- DNA nanotechnology31 topic
- Gaussian Processes31 topic
- High-Throughput Analysis31 topic
- Protein Microarrays31 topic
- Self-Assembly31 topic
- Variational Inference31 topic
Where does Frank Noé work?
Frank Noé's main affiliation in the publication record is Freie Universität Berlin, Germany.
How many publications and citations does Frank Noé have?
Science Explorer counts 68 works and 466 citations for Frank Noé, ranking #132,589 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.