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Researcher · Profactor (Austria) · Austria

Markus Ikeda

Markus Ikeda publishes mostly in Control and Systems Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, on topics such as Robot Manipulation and Learning, Manufacturing Process and Optimization and Flexible and Reconfigurable Manufacturing Systems.

ORCID 0000-0001-6754-5783 OpenAlex
World rank
#3,811,673
of 7,710,434 ranked researchers
Rank in Austria
#23,163
of 43,330
Works
35
Citations
351
Citations per work
10.0
h-index
8
i10-index 8Top 54% in Control and Systems Engineering
Markus Ikeda

What does Markus Ikeda research?

Markus Ikeda's work is mostly in Engineering (62%), Computer Science (13%), Psychology (5%).

Physical Sciences: 26 works · 75.3% of their workEngineering: 22 works · 62.4% of their workControl and Systems Engineering: 8 works · 22.8% of their workIndustrial and Manufacturing Engineering: 8 works · 21.8% of their workMechanical Engineering: 3 works · 9.9% of their workComputational Mechanics: 3 works · 7.9% of their workComputer Science: 5 works · 12.9% of their workComputer Vision and Pattern Recognition: 5 works · 12.9% of their workEverything else: 7 works · 19.7% of their workSocial Sciences: 2 works · 5.0% of their workPsychology: 2 works · 5.0% of their workSocial Psychology: 2 works · 5.0% of their workTHEIR WORKMarkus Ikeda35works
Physical Sciences75%Social Sciences5%

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. Engineering2262.4%
    2. Computer Science512.9%
  2. Everything else719.7%
    1. Psychology25.0%
  1. 1Control and Systems Engineering23% of their works
  2. 2Industrial and Manufacturing Engineering22% of their works
  3. 3Computer Vision and Pattern Recognition13% of their works
  4. 4Mechanical Engineering10% of their works
  5. 5Computational Mechanics8% of their works
  6. 6Social Psychology5% of their works

Research topics

Which keywords describe Markus Ikeda's research?

The keywords of their largest research topics: Deep Learning, Grasping, Robot Learning, Assembly Planning, Design for Manufacture, Flexible Automation, Haptic Interfaces and Reconfigurable Manufacturing Systems.

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 17 words, with their numbers
  1. Deep Learning232 topics
  2. Grasping191 topic
  3. Robot Learning191 topic
  4. Assembly Planning121 topic
  5. Design for Manufacture121 topic
  6. Flexible Automation51 topic
  7. Haptic Interfaces51 topic
  8. Reconfigurable Manufacturing Systems51 topic
  9. Teleoperation51 topic
  10. 3D Reconstruction41 topic
  11. Finite Elements41 topic
  12. Kinematic Analysis41 topic
  13. NURBS41 topic
  14. Point Clouds41 topic
  15. Robot Manipulators41 topic
  16. Optimal Motion Planning31 topic
  17. Sampling-Based Algorithms31 topic

Where does Markus Ikeda work?

Markus Ikeda's main affiliation in the publication record is Profactor (Austria), Austria.

How many publications and citations does Markus Ikeda have?

OpenAlex counts 35 works and 351 citations for Markus Ikeda, an h-index of 8, ranking #3,811,673 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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