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Researcher · Robert Bosch (Germany) · Germany

Philipp Schillinger

Philipp Schillinger publishes mostly in Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition, on topics such as Robot Manipulation and Learning, Formal Methods in Verification and Reinforcement Learning in Robotics.

ORCID 0000-0002-9547-9784 OpenAlex
World rank
#3,219,142
of 7,710,434 ranked researchers
Rank in Germany
#160,303
of 364,343
Works
45
Citations
575
Citations per work
12.8
h-index
12
i10-index 15Top 32% in Artificial Intelligence
Philipp Schillinger

What does Philipp Schillinger research?

Philipp Schillinger's work is mostly in Computer Science (52%), Engineering (25%).

Physical Sciences: 34 works · 76.5% of their workComputer Science: 23 works · 51.5% of their workArtificial Intelligence: 11 works · 23.5% of their workComputer Vision and Pattern Recognition: 5 works · 11.4% of their workComputational Theory and Mathematics: 4 works · 9.8% of their workComputer Networks and Communications: 3 works · 6.8% of their workEngineering: 11 works · 25.0% of their workControl and Systems Engineering: 9 works · 18.9% of their workIndustrial and Manufacturing Engineering: 3 works · 6.1% of their workEverything else: 11 works · 23.5% of their workTHEIR WORKPhilippSchillinger45works
Physical Sciences76%

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 Science2351.5%
    2. Engineering1125.0%
  2. Everything else1123.5%
  1. 1Artificial Intelligence24% of their works
  2. 2Control and Systems Engineering19% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Computational Theory and Mathematics10% of their works
  5. 5Computer Networks and Communications7% of their works
  6. 6Industrial and Manufacturing Engineering6% of their works

Research topics

Which keywords describe Philipp Schillinger's research?

The keywords of their largest research topics: Deep Learning, Grasping, Robot Learning, Model Checking, Multi-Agent Systems, Satisfiability Modulo Theories, Symbolic Model Checker and Neural Networks.

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
  1. Deep Learning302 topics
  2. Grasping211 topic
  3. Robot Learning211 topic
  4. Model Checking182 topics
  5. Multi-Agent Systems182 topics
  6. Satisfiability Modulo Theories121 topic
  7. Symbolic Model Checker121 topic
  8. Neural Networks91 topic
  9. Optimal Motion Planning91 topic
  10. Reinforcement Learning91 topic
  11. Sampling-Based Algorithms91 topic
  12. Heuristic Search71 topic
  13. Planning Systems71 topic
  14. Formal Verification61 topic
  15. Modular Robots61 topic
  16. Self-Reconfiguration61 topic
  17. Static Analysis61 topic
  18. Assembly Planning51 topic
  19. Design for Manufacture51 topic

Where does Philipp Schillinger work?

Philipp Schillinger's main affiliation in the publication record is Robert Bosch (Germany), Germany.

How many publications and citations does Philipp Schillinger have?

OpenAlex counts 45 works and 575 citations for Philipp Schillinger, an h-index of 12, ranking #3,219,142 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

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