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Researcher · University of Stuttgart · Germany

Robin Strässer

Robin Strässer publishes mostly in Control and Systems Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, on topics such as Control Systems and Identification, Model Reduction and Neural Networks and Advanced Control Systems Optimization.

ORCID 0000-0003-4629-844X OpenAlex
World rank
#1,568,134
of 7,710,434 ranked researchers
Rank in Germany
#77,357
of 364,343
Works
37
Citations
221
Citations per work
6.0
h-index
8
i10-index 6Top 54% in Control and Systems Engineering
Robin Strässer

What does Robin Strässer research?

Robin Strässer's work is mostly in Engineering (52%), Physics and Astronomy (18%), Computer Science (13%).

Physical Sciences: 31 works · 82.8% of their workEngineering: 19 works · 52.2% of their workControl and Systems Engineering: 18 works · 47.7% of their workAutomotive Engineering: 1 works · 2.7% of their workBiomedical Engineering: 1 works · 1.8% of their workPhysics and Astronomy: 7 works · 18.0% of their workStatistical and Nonlinear Physics: 7 works · 18.0% of their workComputer Science: 5 works · 12.6% of their workArtificial Intelligence: 3 works · 9.0% of their workComputer Vision and Pattern Recognition: 1 works · 3.6% of their workEverything else: 6 works · 17.2% of their workTHEIR WORKRobin Strässer37works
Physical Sciences83%

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. Engineering1952.2%
    2. Physics and Astronomy718.0%
    3. Computer Science512.6%
  2. Everything else617.2%
  1. 1Control and Systems Engineering48% of their works
  2. 2Statistical and Nonlinear Physics18% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Computer Vision and Pattern Recognition4% of their works
  5. 5Automotive Engineering3% of their works
  6. 6Biomedical Engineering2% of their works

Research topics

Which keywords describe Robin Strässer's research?

The keywords of their largest research topics: Nonlinear Systems, Machine Learning, Parameter Estimation, System Identification, Robust Control, Stability Analysis, Deep Learning and Partial Differential Equations.

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 20 words, with their numbers
  1. Nonlinear Systems362 topics
  2. Machine Learning273 topics
  3. Parameter Estimation231 topic
  4. System Identification231 topic
  5. Robust Control212 topics
  6. Stability Analysis212 topics
  7. Deep Learning191 topic
  8. Partial Differential Equations191 topic
  9. Model Predictive Control171 topic
  10. Optimization171 topic
  11. Neuromorphic Photonics51 topic
  12. Photonic Reservoir Computing51 topic
  13. Chaos41 topic
  14. Event-Triggered Control41 topic
  15. Image Encryption41 topic
  16. Networked Control Systems41 topic
  17. Fault Detection31 topic
  18. Process Monitoring31 topic
  19. Gene Regulatory Networks21 topic
  20. Stochastic Gene Expression21 topic

Where does Robin Strässer work?

Robin Strässer's main affiliation in the publication record is University of Stuttgart, Germany.

How many publications and citations does Robin Strässer have?

OpenAlex counts 37 works and 221 citations for Robin Strässer, an h-index of 8, ranking #1,568,134 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.

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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