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Researcher · Université Hassan II Mohammedia · Morocco

Oussama El Gannour

Oussama El Gannour publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as COVID-19 diagnosis using AI, AI in cancer detection and Artificial Intelligence in Healthcare.

ORCID 0000-0003-2536-9528 OpenAlex
World rank
#215,689
of 7,710,434 ranked researchers
Rank in Morocco
#91
of 14,526
Works
44
Citations
1.1k
Citations per work
25.2
h-index
19
i10-index 27Top 14% in Artificial Intelligence
Oussama El Gannour

What does Oussama El Gannour research?

Oussama El Gannour's work is mostly in Computer Science (30%), Medicine (20%), Health Professions (6%).

Everything else: 18 works · 40.3% of their workPhysical Sciences: 13 works · 30.3% of their workComputer Science: 13 works · 30.3% of their workArtificial Intelligence: 8 works · 19.3% of their workComputer Vision and Pattern Recognition: 5 works · 11.0% of their workHealth Sciences: 12 works · 26.6% of their workMedicine: 9 works · 20.2% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 14.7% of their workOncology: 2 works · 5.5% of their workHealth Professions: 3 works · 6.4% of their workHealth Information Management: 3 works · 6.4% of their workLife Sciences: 1 works · 2.8% of their workNeuroscience: 1 works · 2.8% of their workNeurology: 1 works · 2.8% of their workTHEIR WORKOussama ElGannour44works
Life Sciences3%Physical Sciences30%Health Sciences27%

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 else1840.3%
    1. Computer Science1330.3%
    1. Medicine920.2%
    2. Health Professions36.4%
    1. Neuroscience12.8%
  1. 1Artificial Intelligence19% of their works
  2. 2Radiology, Nuclear Medicine and Imaging15% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Health Information Management6% of their works
  5. 5Oncology6% of their works
  6. 6Neurology3% of their works

Research topics

Which keywords describe Oussama El Gannour's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Imaging, Transfer Learning, Chest X-Ray, COVID-19 and Histopathology Images.

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 22 words, with their numbers
  1. Deep Learning274 topics
  2. Convolutional Neural Networks223 topics
  3. Machine Learning224 topics
  4. Medical Imaging173 topics
  5. Transfer Learning132 topics
  6. COVID-19101 topic
  7. Chest X-Ray101 topic
  8. Histopathology Images81 topic
  9. Medical Image Analysis81 topic
  10. Big Data Analytics71 topic
  11. Feature Extraction72 topics
  12. Healthcare71 topic
  13. Dermoscopy61 topic
  14. Melanoma61 topic
  15. Handwriting Recognition41 topic
  16. Quantitative Analysis41 topic
  17. Radiomics41 topic
  18. Text Detection41 topic
  19. Brain Tumor31 topic
  20. MRI31 topic
  21. Neural Machine Translation31 topic
  22. Statistical Machine Translation31 topic

Where does Oussama El Gannour work?

Oussama El Gannour's main affiliation in the publication record is Université Hassan II Mohammedia, Morocco.

How many publications and citations does Oussama El Gannour have?

OpenAlex counts 44 works and 1,107 citations for Oussama El Gannour, an h-index of 19, ranking #215,689 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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