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Researcher · Siemens (Germany) · Germany

Daniel Hein

Daniel Hein publishes mostly in Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics, on topics such as Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications and Quantum Computing Algorithms and Architecture.

ORCID 0000-0002-8375-1592 OpenAlex
World rank
#3,081,335
of 7,710,434 ranked researchers
Rank in Germany
#153,343
of 364,343
Works
24
Citations
244
Citations per work
10.2
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Daniel Hein

What does Daniel Hein research?

Daniel Hein's work is mostly in Computer Science (64%), Engineering (16%), Mathematics (3%).

Physical Sciences: 20 works · 85.4% of their workComputer Science: 15 works · 63.7% of their workArtificial Intelligence: 14 works · 56.5% of their workComputational Theory and Mathematics: 2 works · 7.2% of their workEngineering: 4 works · 15.9% of their workControl and Systems Engineering: 2 works · 10.1% of their workElectrical and Electronic Engineering: 1 works · 5.8% of their workMathematics: 1 works · 2.9% of their workStatistics and Probability: 1 works · 2.9% of their workPhysics and Astronomy: 1 works · 2.9% of their workAtomic and Molecular Physics, and Optics: 1 works · 2.9% of their workEverything else: 4 works · 14.6% of their workTHEIR WORKDaniel Hein24works
Physical Sciences85%

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
    1. Computer Science1563.7%
    2. Engineering415.9%
    3. Mathematics12.9%
    4. Physics and Astronomy12.9%
  2. Everything else414.6%
  1. 1Artificial Intelligence56% of their works
  2. 2Control and Systems Engineering10% of their works
  3. 3Computational Theory and Mathematics7% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Atomic and Molecular Physics, and Optics3% of their works
  6. 6Statistics and Probability3% of their works

Research topics

Which keywords describe Daniel Hein's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Reinforcement Learning, Classification, Machine Learning, Evolutionary Algorithms, Genetic Programming and Model Predictive Control.

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
  1. Deep Learning152 topics
  2. Neural Networks131 topic
  3. Reinforcement Learning131 topic
  4. Classification102 topics
  5. Machine Learning102 topics
  6. Evolutionary Algorithms81 topic
  7. Genetic Programming81 topic
  8. Model Predictive Control51 topic
  9. Optimization51 topic
  10. Quantum Computation51 topic
  11. Quantum Information51 topic
  12. Electronic Health Records21 topic
  13. Entanglement21 topic
  14. Fuzzy Logic Systems21 topic
  15. Healthcare21 topic
  16. Hyperparameter Optimization21 topic
  17. Noisy Labels21 topic
  18. Quantum21 topic
  19. Type-2 Fuzzy Sets21 topic

Where does Daniel Hein work?

Daniel Hein's main affiliation in the publication record is Siemens (Germany), Germany.

How many publications and citations does Daniel Hein have?

OpenAlex counts 24 works and 244 citations for Daniel Hein, an h-index of 8, ranking #3,081,335 of 7,710,434 researchers worldwide on the quality 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.

Other researchers named Daniel Hein

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