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Researcher · University of Wuppertal · Germany

Dirk Van Schrick

Dirk Van Schrick publishes mostly in Control and Systems Engineering, Statistics, Probability and Uncertainty and Mechanical Engineering, on topics such as Fault Detection and Control Systems, Advanced Data Processing Techniques and Advanced Statistical Process Monitoring.

OpenAlex
World rank
#5,779,741
of 7,710,434 ranked researchers
Rank in Germany
#296,858
of 364,343
Works
24
Citations
110
Citations per work
4.6
h-index
4
i10-index 1Top 87% in Control and Systems Engineering
Dirk Van Schrick

What does Dirk Van Schrick research?

Dirk Van Schrick's work is mostly in Engineering (60%), Decision Sciences (20%), Computer Science (5%).

Physical Sciences: 16 works · 64.6% of their workEngineering: 14 works · 60.0% of their workControl and Systems Engineering: 11 works · 47.7% of their workMechanical Engineering: 2 works · 7.7% of their workCivil and Structural Engineering: 1 works · 4.6% of their workComputer Science: 1 works · 4.6% of their workComputational Theory and Mathematics: 1 works · 4.6% of their workSocial Sciences: 5 works · 20.0% of their workDecision Sciences: 5 works · 20.0% of their workStatistics, Probability and Uncertainty: 5 works · 20.0% of their workEverything else: 3 works · 10.8% of their workHealth Sciences: 1 works · 4.6% of their workHealth Professions: 1 works · 4.6% of their workMedical Laboratory Technology: 1 works · 4.6% of their workTHEIR WORKDirk Van Schrick24works
Physical Sciences65%Health Sciences5%Social Sciences20%

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. Engineering1460.0%
    2. Computer Science14.6%
    1. Decision Sciences520.0%
  3. Everything else310.8%
    1. Health Professions14.6%
  1. 1Control and Systems Engineering48% of their works
  2. 2Statistics, Probability and Uncertainty20% of their works
  3. 3Mechanical Engineering8% of their works
  4. 4Medical Laboratory Technology5% of their works
  5. 5Civil and Structural Engineering5% of their works
  6. 6Computational Theory and Mathematics5% of their works

Research topics

Which keywords describe Dirk Van Schrick's research?

The keywords of their largest research topics: Machine Learning, Fault Detection, Process Monitoring, Quality Assurance, Fuzzy Controller, Redundant Transmission, Healthcare Improvement and Statistical Process 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 18 words, with their numbers
  1. Machine Learning212 topics
  2. Fault Detection181 topic
  3. Process Monitoring181 topic
  4. Quality Assurance92 topics
  5. Fuzzy Controller61 topic
  6. Redundant Transmission61 topic
  7. Healthcare Improvement51 topic
  8. Statistical Process Control51 topic
  9. Bayesian Networks41 topic
  10. Fault Tree Analysis41 topic
  11. Measurement Uncertainty41 topic
  12. Redefinition of SI Units41 topic
  13. Maintenance31 topic
  14. Medical Equipment31 topic
  15. Parameter Estimation31 topic
  16. System Identification31 topic
  17. Vibration-based Damage Identification31 topic
  18. Wireless Sensors31 topic

Where does Dirk Van Schrick work?

Dirk Van Schrick's main affiliation in the publication record is University of Wuppertal, Germany.

How many publications and citations does Dirk Van Schrick have?

OpenAlex counts 24 works and 110 citations for Dirk Van Schrick, an h-index of 4, ranking #5,779,741 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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