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Researcher · ABB (Poland) · Poland

Michał Orkisz

Michał Orkisz publishes mostly in Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering, on topics such as Machine Fault Diagnosis Techniques, Fault Detection and Control Systems and Advanced Electrical Measurement Techniques.

ORCID 0000-0001-9534-3900 OpenAlex
World rank
#2,941,763
of 7,710,434 ranked researchers
Rank in Poland
#18,898
of 100,960
Works
45
Citations
834
Citations per work
18.5
h-index
13
i10-index 13Top 27% in Control and Systems Engineering
Michał Orkisz

What does Michał Orkisz research?

Michał Orkisz's work is mostly in Engineering (52%), Computer Science (8%), Materials Science (3%).

Physical Sciences: 28 works · 62.5% of their workEngineering: 23 works · 51.7% of their workControl and Systems Engineering: 8 works · 17.5% of their workMechanical Engineering: 8 works · 17.5% of their workElectrical and Electronic Engineering: 8 works · 16.7% of their workComputer Science: 3 works · 7.5% of their workArtificial Intelligence: 2 works · 4.2% of their workComputer Networks and Communications: 1 works · 3.3% of their workMaterials Science: 1 works · 3.3% of their workElectronic, Optical and Magnetic Materials: 1 works · 3.3% of their workEverything else: 17 works · 37.5% of their workTHEIR WORKMichał Orkisz45works
Physical Sciences62%

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. Engineering2351.7%
    2. Computer Science37.5%
    3. Materials Science13.3%
  2. Everything else1737.5%
  1. 1Control and Systems Engineering18% of their works
  2. 2Mechanical Engineering18% of their works
  3. 3Electrical and Electronic Engineering17% of their works
  4. 4Artificial Intelligence4% of their works
  5. 5Computer Networks and Communications3% of their works
  6. 6Electronic, Optical and Magnetic Materials3% of their works

Research topics

Which keywords describe Michał Orkisz's research?

The keywords of their largest research topics: Machine Learning, Vibration Analysis, Empirical Mode Decomposition, Fault Diagnosis, Nonlinear Dynamics, Fault Detection, Process Monitoring and Fourier Coefficients.

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 19 words, with their numbers
  1. Machine Learning202 topics
  2. Vibration Analysis172 topics
  3. Empirical Mode Decomposition111 topic
  4. Fault Diagnosis111 topic
  5. Nonlinear Dynamics102 topics
  6. Fault Detection91 topic
  7. Process Monitoring91 topic
  8. Fourier Coefficients61 topic
  9. Frequency Estimation61 topic
  10. Gear Dynamics61 topic
  11. Mesh Stiffness61 topic
  12. Drive Systems51 topic
  13. Vibration Suppression51 topic
  14. Magnetic Materials41 topic
  15. Magnetostriction41 topic
  16. Vibration-based Damage Identification41 topic
  17. Wireless Sensors41 topic
  18. Autonomic Computing31 topic
  19. Self-Adaptive Systems31 topic

Where does Michał Orkisz work?

Michał Orkisz's main affiliation in the publication record is ABB (Poland), Poland.

How many publications and citations does Michał Orkisz have?

OpenAlex counts 45 works and 834 citations for Michał Orkisz, an h-index of 13, ranking #2,941,763 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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