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Researcher · Research Center in Industrial Technologies · Algeria

Rabah Abdelkader

Rabah Abdelkader publishes mostly in Control and Systems Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, on topics such as Machine Fault Diagnosis Techniques, Fault Detection and Control Systems and Gear and Bearing Dynamics Analysis.

ORCID 0000-0002-3738-3485 OpenAlex
World rank
#3,623,345
of 7,710,434 ranked researchers
Rank in Algeria
#2,078
of 10,068
Works
18
Citations
307
Citations per work
17.1
h-index
7
i10-index 7Top 62% in Control and Systems Engineering
Rabah Abdelkader

What does Rabah Abdelkader research?

Rabah Abdelkader's work is mostly in Engineering (65%), Computer Science (17%).

Physical Sciences: 15 works · 81.6% of their workEngineering: 12 works · 64.9% of their workControl and Systems Engineering: 4 works · 22.2% of their workMechanical Engineering: 4 works · 20.4% of their workElectrical and Electronic Engineering: 3 works · 14.8% of their workIndustrial and Manufacturing Engineering: 1 works · 5.6% of their workAerospace Engineering: 0 works · 1.9% of their workComputer Science: 3 works · 16.7% of their workComputer Vision and Pattern Recognition: 3 works · 16.7% of their workEverything else: 3 works · 18.4% of their workTHEIR WORKRabah Abdelkader18works
Physical Sciences82%

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. Engineering1264.9%
    2. Computer Science316.7%
  2. Everything else318.4%
  1. 1Control and Systems Engineering22% of their works
  2. 2Mechanical Engineering20% of their works
  3. 3Computer Vision and Pattern Recognition17% of their works
  4. 4Electrical and Electronic Engineering15% of their works
  5. 5Industrial and Manufacturing Engineering6% of their works
  6. 6Aerospace Engineering2% of their works

Research topics

Which keywords describe Rabah Abdelkader's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Vibration Analysis, Empirical Mode Decomposition, Fault Diagnosis, Texture Analysis, Fault Detection and Gear Dynamics.

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. Deep Learning123 topics
  2. Machine Learning112 topics
  3. Vibration Analysis112 topics
  4. Empirical Mode Decomposition71 topic
  5. Fault Diagnosis71 topic
  6. Texture Analysis52 topics
  7. Fault Detection41 topic
  8. Gear Dynamics41 topic
  9. Mesh Stiffness41 topic
  10. Process Monitoring41 topic
  11. Fabric Defect Detection31 topic
  12. Hough Transform31 topic
  13. Line Detection31 topic
  14. Machine Vision31 topic
  15. Multilevel Converters31 topic
  16. Power Electronics31 topic
  17. Residual Stress31 topic
  18. Welding31 topic
  19. Image Segmentation21 topic
  20. Medical Image Analysis21 topic

Where does Rabah Abdelkader work?

Rabah Abdelkader's main affiliation in the publication record is Research Center in Industrial Technologies, Algeria.

How many publications and citations does Rabah Abdelkader have?

OpenAlex counts 18 works and 307 citations for Rabah Abdelkader, an h-index of 7, ranking #3,623,345 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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