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Researcher · École Normale Supérieure de l'Enseignement Technique de Mohammedia · Morocco

Soufiane Hamida

Soufiane Hamida publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Artificial Intelligence in Healthcare.

ORCID 0000-0003-0616-7787 OpenAlex
World rank
#222,755
of 7,710,434 ranked researchers
Rank in Morocco
#94
of 14,526
Works
102
Citations
1.8k
Citations per work
17.8
h-index
29
i10-index 49Top 5.3% in Artificial Intelligence
Soufiane Hamida

What does Soufiane Hamida research?

Soufiane Hamida's work is mostly in Computer Science (31%), Medicine (14%), Health Professions (4%).

Everything else: 49 works · 48.0% of their workPhysical Sciences: 31 works · 30.7% of their workComputer Science: 31 works · 30.7% of their workArtificial Intelligence: 23 works · 22.3% of their workComputer Vision and Pattern Recognition: 9 works · 8.4% of their workHealth Sciences: 18 works · 18.0% of their workMedicine: 14 works · 13.6% of their workRadiology, Nuclear Medicine and Imaging: 10 works · 9.9% of their workOncology: 4 works · 3.7% of their workHealth Professions: 4 works · 4.4% of their workHealth Information Management: 4 works · 4.4% of their workLife Sciences: 3 works · 3.3% of their workNeuroscience: 3 works · 3.3% of their workNeurology: 3 works · 3.3% of their workTHEIR WORKSoufiane Hamida102works
Life Sciences3%Physical Sciences31%Health Sciences18%

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 else4948.0%
    1. Computer Science3130.7%
    1. Medicine1413.6%
    2. Health Professions44.4%
    1. Neuroscience33.3%
  1. 1Artificial Intelligence22% of their works
  2. 2Radiology, Nuclear Medicine and Imaging10% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Health Information Management4% of their works
  5. 5Oncology4% of their works
  6. 6Neurology3% of their works

Research topics

Which keywords describe Soufiane Hamida's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Imaging, Feature Extraction, Transfer Learning, Histopathology Images and Medical Image Analysis.

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. Machine Learning575 topics
  2. Deep Learning424 topics
  3. Convolutional Neural Networks343 topics
  4. Medical Imaging343 topics
  5. Feature Extraction232 topics
  6. Transfer Learning202 topics
  7. Histopathology Images151 topic
  8. Medical Image Analysis151 topic
  9. Neural Networks152 topics
  10. Quantitative Analysis141 topic
  11. Radiomics141 topic
  12. Big Data Analytics121 topic
  13. Healthcare121 topic
  14. COVID-19111 topic
  15. Chest X-Ray111 topic
  16. Brain Tumor91 topic
  17. MRI91 topic
  18. Handwriting Recognition81 topic
  19. Text Detection81 topic
  20. Educational Data Mining71 topic
  21. Gesture Recognition71 topic
  22. Human-Computer Interaction71 topic
  23. Learning Analytics71 topic

Where does Soufiane Hamida work?

Soufiane Hamida's main affiliation in the publication record is École Normale Supérieure de l'Enseignement Technique de Mohammedia, Morocco.

How many publications and citations does Soufiane Hamida have?

OpenAlex counts 102 works and 1,815 citations for Soufiane Hamida, an h-index of 29, ranking #222,755 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.

Discussion

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