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Researcher · Hochschule Bielefeld · Germany

Martin Kohlhase

Martin Kohlhase publishes mostly in Industrial and Manufacturing Engineering, Artificial Intelligence and Control and Systems Engineering, on topics such as Big Data and Business Intelligence, Flexible and Reconfigurable Manufacturing Systems and Digital Transformation in Industry.

ORCID 0009-0002-9374-0720 OpenAlex
World rank
#6,149,419
of 7,710,434 ranked researchers
Rank in Germany
#313,136
of 364,343
Works
35
Citations
68
Citations per work
1.9
h-index
4
i10-index 2Top 87% in Industrial and Manufacturing Engineering (Engineering)
Martin Kohlhase

What does Martin Kohlhase research?

Martin Kohlhase's work is mostly in Engineering (28%), Computer Science (25%), Business, Management and Accounting (8%).

Physical Sciences: 19 works · 53.3% of their workEngineering: 10 works · 28.3% of their workIndustrial and Manufacturing Engineering: 7 works · 19.6% of their workControl and Systems Engineering: 3 works · 8.7% of their workComputer Science: 9 works · 25.0% of their workArtificial Intelligence: 6 works · 17.4% of their workComputer Vision and Pattern Recognition: 3 works · 7.6% of their workEverything else: 12 works · 33.7% of their workSocial Sciences: 5 works · 13.0% of their workBusiness, Management and Accounting: 3 works · 7.6% of their workManagement Information Systems: 3 works · 7.6% of their workDecision Sciences: 2 works · 5.4% of their workManagement Science and Operations Research: 2 works · 5.4% of their workTHEIR WORKMartin Kohlhase35works
Physical Sciences53%Social Sciences13%

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. Engineering1028.3%
    2. Computer Science925.0%
  2. Everything else1233.7%
    1. Business, Management and Accounting37.6%
    2. Decision Sciences25.4%
  1. 1Industrial and Manufacturing Engineering20% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Control and Systems Engineering9% of their works
  4. 4Management Information Systems8% of their works
  5. 5Computer Vision and Pattern Recognition8% of their works
  6. 6Management Science and Operations Research5% of their works

Research topics

Which keywords describe Martin Kohlhase's research?

The keywords of their largest research topics: Big Data, Supply Chain Management, Deep Learning, Machine Learning, Analytics, Business Intelligence, Digital Twin and Flexible Automation.

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 20 words, with their numbers
  1. Big Data92 topics
  2. Supply Chain Management92 topics
  3. Deep Learning62 topics
  4. Machine Learning62 topics
  5. Analytics51 topic
  6. Business Intelligence51 topic
  7. Digital Twin41 topic
  8. Flexible Automation41 topic
  9. Reconfigurable Manufacturing Systems41 topic
  10. Smart Manufacturing41 topic
  11. Active Learning31 topic
  12. Assembly Line Balancing31 topic
  13. Assembly Planning31 topic
  14. Design for Manufacture31 topic
  15. Fault Detection31 topic
  16. Neural Networks31 topic
  17. Optimization Methods31 topic
  18. Process Monitoring31 topic
  19. Self-Organizing Maps31 topic
  20. Semi-Supervised Learning31 topic

Where does Martin Kohlhase work?

Martin Kohlhase's main affiliation in the publication record is Hochschule Bielefeld, Germany.

How many publications and citations does Martin Kohlhase have?

OpenAlex counts 35 works and 68 citations for Martin Kohlhase, an h-index of 4, ranking #6,149,419 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.

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