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Researcher · Université Sultan Moulay Slimane · Morocco

Soufiane Lyaqini

Soufiane Lyaqini publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, on topics such as Online Learning and Analytics, Artificial Intelligence in Healthcare and Sparse and Compressive Sensing Techniques.

ORCID 0000-0002-1991-9039 OpenAlex
World rank
#2,228,896
of 7,710,434 ranked researchers
Rank in Morocco
#1,919
of 14,526
Works
34
Citations
166
Citations per work
4.9
h-index
9
i10-index 8Top 49% in Artificial Intelligence
Soufiane Lyaqini

What does Soufiane Lyaqini research?

Soufiane Lyaqini's work is mostly in Computer Science (35%), Health Professions (6%), Decision Sciences (6%).

Everything else: 18 works · 53.8% of their workPhysical Sciences: 12 works · 35.2% of their workComputer Science: 12 works · 35.2% of their workArtificial Intelligence: 4 works · 13.2% of their workComputer Vision and Pattern Recognition: 3 works · 8.8% of their workComputer Science Applications: 3 works · 7.7% of their workInformation Systems: 2 works · 5.5% of their workHealth Sciences: 2 works · 5.5% of their workHealth Professions: 2 works · 5.5% of their workHealth Information Management: 2 works · 5.5% of their workSocial Sciences: 2 works · 5.5% of their workDecision Sciences: 2 works · 5.5% of their workManagement Science and Operations Research: 2 works · 5.5% of their workTHEIR WORKSoufiane Lyaqini34works
Physical Sciences35%Health Sciences6%Social 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 else1853.8%
    1. Computer Science1235.2%
    1. Health Professions25.5%
    1. Decision Sciences25.5%
  1. 1Artificial Intelligence13% of their works
  2. 2Computer Vision and Pattern Recognition9% of their works
  3. 3Computer Science Applications8% of their works
  4. 4Management Science and Operations Research6% of their works
  5. 5Health Information Management6% of their works
  6. 6Information Systems6% of their works

Research topics

Which keywords describe Soufiane Lyaqini's research?

The keywords of their largest research topics: Machine Learning, Feature Selection, Sparse Representation, Support Vector Machines, Big Data Analytics, Deep Learning, Educational Data Mining and Healthcare.

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 Learning123 topics
  2. Feature Selection82 topics
  3. Sparse Representation72 topics
  4. Support Vector Machines62 topics
  5. Big Data Analytics51 topic
  6. Deep Learning52 topics
  7. Educational Data Mining51 topic
  8. Healthcare51 topic
  9. Learning Analytics51 topic
  10. Neural Networks52 topics
  11. Classification42 topics
  12. Compressed Sensing41 topic
  13. Signal Recovery41 topic
  14. Dimensionality Reduction31 topic
  15. Face Recognition31 topic
  16. Stock Market Prediction31 topic
  17. Time Series Forecasting31 topic
  18. Brain Tumor21 topic
  19. Distributed Storage21 topic
  20. Extreme Learning Machine21 topic
  21. Feedforward Networks21 topic
  22. MRI21 topic
  23. Network Coding21 topic

Where does Soufiane Lyaqini work?

Soufiane Lyaqini's main affiliation in the publication record is Université Sultan Moulay Slimane, Morocco.

How many publications and citations does Soufiane Lyaqini have?

OpenAlex counts 34 works and 166 citations for Soufiane Lyaqini, an h-index of 9, ranking #2,228,896 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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