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Researcher · Research Center in Industrial Technologies · Algeria

Nabil Chetih

Nabil Chetih publishes mostly in Computer Vision and Pattern Recognition, Mechanical Engineering and Control and Systems Engineering, on topics such as Image and Object Detection Techniques, Medical Image Segmentation Techniques and Smart Agriculture and AI.

ORCID 0009-0008-9706-003X OpenAlex
World rank
#6,237,323
of 7,710,434 ranked researchers
Rank in Algeria
#6,451
of 10,068
Works
25
Citations
161
Citations per work
6.4
h-index
6
i10-index 4Top 78% in Computer Vision and Pattern Recognition
Nabil Chetih

What does Nabil Chetih research?

Nabil Chetih's work is mostly in Computer Science (32%), Engineering (24%), Medicine (7%).

Physical Sciences: 14 works · 55.5% of their workComputer Science: 8 works · 31.9% of their workComputer Vision and Pattern Recognition: 8 works · 31.9% of their workEngineering: 6 works · 23.6% of their workMechanical Engineering: 2 works · 9.7% of their workControl and Systems Engineering: 2 works · 8.3% of their workBiomedical Engineering: 1 works · 5.6% of their workEverything else: 8 works · 32.0% of their workHealth Sciences: 2 works · 6.9% of their workMedicine: 2 works · 6.9% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 6.9% of their workLife Sciences: 1 works · 5.6% of their workAgricultural and Biological Sciences: 1 works · 5.6% of their workPlant Science: 1 works · 5.6% of their workTHEIR WORKNabil Chetih25works
Life Sciences6%Physical Sciences56%Health Sciences7%

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. Computer Science831.9%
    2. Engineering623.6%
  2. Everything else832.0%
    1. Medicine26.9%
    1. Agricultural and Biological Sciences15.6%
  1. 1Computer Vision and Pattern Recognition32% of their works
  2. 2Mechanical Engineering10% of their works
  3. 3Control and Systems Engineering8% of their works
  4. 4Radiology, Nuclear Medicine and Imaging7% of their works
  5. 5Biomedical Engineering6% of their works
  6. 6Plant Science6% of their works

Research topics

Which keywords describe Nabil Chetih's research?

The keywords of their largest research topics: Deep Learning, Hough Transform, Line Detection, Image Segmentation, Medical Image Analysis, Dual-Energy CT, Image Denoising and Material Differentiation.

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 Learning163 topics
  2. Hough Transform91 topic
  3. Line Detection91 topic
  4. Image Segmentation81 topic
  5. Medical Image Analysis81 topic
  6. Dual-Energy CT41 topic
  7. Image Denoising41 topic
  8. Material Differentiation41 topic
  9. Plant Disease Detection41 topic
  10. Smart Farming41 topic
  11. Sparse Representations41 topic
  12. Forest Carbon Stocks31 topic
  13. Imaging31 topic
  14. Lidar Remote Sensing31 topic
  15. PET/CT31 topic
  16. Residual Stress31 topic
  17. Welding31 topic

Where does Nabil Chetih work?

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

How many publications and citations does Nabil Chetih have?

OpenAlex counts 25 works and 161 citations for Nabil Chetih, an h-index of 6, ranking #6,237,323 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.

Discussion

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