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Researcher · Qatar University · Qatar

Mohamed Arselene Ayari

Mohamed Arselene Ayari publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging and Smart Agriculture and AI.

ORCID 0000-0002-8663-886X OpenAlex
World rank
#72,627
of 7,710,434 ranked researchers
Rank in Qatar
#69
of 3,423
Works
120
Citations
3.6k
Citations per work
30.4
h-index
31
i10-index 52Top 4.4% in Artificial Intelligence
Mohamed Arselene Ayari

What does Mohamed Arselene Ayari research?

Mohamed Arselene Ayari's work is mostly in Engineering (14%), Computer Science (13%), Medicine (6%).

Everything else: 82 works · 68.2% of their workPhysical Sciences: 32 works · 26.3% of their workEngineering: 16 works · 13.5% of their workBiomedical Engineering: 6 works · 4.9% of their workElectrical and Electronic Engineering: 6 works · 4.6% of their workMechanical Engineering: 5 works · 4.0% of their workComputer Science: 15 works · 12.8% of their workArtificial Intelligence: 8 works · 7.0% of their workComputer Vision and Pattern Recognition: 7 works · 5.8% of their workHealth Sciences: 7 works · 5.5% of their workMedicine: 7 works · 5.5% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 5.5% of their workTHEIR WORKMohamed ArseleneAyari120works
Physical Sciences26%Health Sciences6%

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. Everything else8268.2%
    1. Engineering1613.5%
    2. Computer Science1512.8%
    1. Medicine75.5%
  1. 1Artificial Intelligence7% of their works
  2. 2Computer Vision and Pattern Recognition6% of their works
  3. 3Radiology, Nuclear Medicine and Imaging6% of their works
  4. 4Biomedical Engineering5% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Mechanical Engineering4% of their works

Research topics

Which keywords describe Mohamed Arselene Ayari's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Medical Imaging, Convolutional Neural Networks, Feature Extraction, Transfer Learning, Image Processing and Chest X-Ray.

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 23 words, with their numbers
  1. Deep Learning275 topics
  2. Machine Learning204 topics
  3. Medical Imaging193 topics
  4. Convolutional Neural Networks173 topics
  5. Feature Extraction153 topics
  6. Transfer Learning122 topics
  7. Image Processing92 topics
  8. COVID-1981 topic
  9. Chest X-Ray81 topic
  10. Quantitative Analysis71 topic
  11. Radiomics71 topic
  12. Anomaly Detection51 topic
  13. Image Recognition51 topic
  14. Object Detection51 topic
  15. Photoplethysmography51 topic
  16. Plant Disease Detection51 topic
  17. Remote Monitoring51 topic
  18. Smart Farming51 topic
  19. Unsupervised51 topic
  20. Brain Tumor41 topic
  21. Leukemia Classification41 topic
  22. MRI41 topic
  23. Malaria Parasite Detection41 topic

Where does Mohamed Arselene Ayari work?

Mohamed Arselene Ayari's main affiliation in the publication record is Qatar University, Qatar.

How many publications and citations does Mohamed Arselene Ayari have?

OpenAlex counts 120 works and 3,642 citations for Mohamed Arselene Ayari, an h-index of 31, ranking #72,627 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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