Steffen Udluft
Steffen Udluft publishes mostly in Artificial Intelligence, Nuclear and High Energy Physics and Control and Systems Engineering, on topics such as Reinforcement Learning in Robotics, Particle physics theoretical and experimental studies and High-Energy Particle Collisions Research.
- World rank
- #950,489 of 7,710,434 ranked researchers
- Rank in Germany
- #46,813 of 364,343
- Works
- 99
- Citations
- 2k
- Citations per work
- 20.4
What does Steffen Udluft research?
Steffen Udluft's work is mostly in Computer Science (49%), Physics and Astronomy (23%), Engineering (11%).
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 Sciences8383.4%
- Computer Science4949.3%
- Physics and Astronomy2323.1%
- Engineering1111.0%
- Everything else1414.4%
- Social Sciences22.2%
- Decision Sciences22.2%
- 1Artificial Intelligence46% of their works
- 2Nuclear and High Energy Physics20% of their works
- 3Control and Systems Engineering11% of their works
- 4Computational Theory and Mathematics4% of their works
- 5Statistical and Nonlinear Physics3% of their works
- 6Management Science and Operations Research2% of their works
Research topics
- Reinforcement Learning in Robotics
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Quantum Computing Algorithms and Architecture
- Advanced Control Systems Optimization
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
Which keywords describe Steffen Udluft's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Reinforcement Learning, Robotics, Lattice QCD, Heavy-Ion Collisions, High-Energy Collider and Particle Physics.
- Machine Learning
- Backpropagation Learning
- Quantum Computation
- Model Predictive Control
- QCD
- Particle Physics
- Heavy-Ion Collisions
- Robotics
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Lattice QCD
- High-Energy Collider
- Quark-Gluon Plasma
- charmonium
- Optimization
- Quantum Information
- Genetic Programming
- Self-Organizing Maps
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
- Deep Learning532 topics
- Neural Networks532 topics
- Reinforcement Learning431 topic
- Robotics431 topic
- Lattice QCD342 topics
- Heavy-Ion Collisions181 topic
- High-Energy Collider181 topic
- Particle Physics181 topic
- Quark-Gluon Plasma181 topic
- QCD161 topic
- charmonium161 topic
- Model Predictive Control111 topic
- Optimization111 topic
- Quantum Computation111 topic
- Quantum Information111 topic
- Backpropagation Learning101 topic
- Genetic Programming101 topic
- Machine Learning101 topic
- Self-Organizing Maps101 topic
Where does Steffen Udluft work?
Steffen Udluft's main affiliation in the publication record is Siemens (Germany), Germany.
How many publications and citations does Steffen Udluft have?
OpenAlex counts 99 works and 2,022 citations for Steffen Udluft, an h-index of 26, ranking #950,489 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.
Discussion
Ask a question or share a note about Steffen Udluft. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.