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Researcher · Université Sultan Moulay Slimane · Morocco

Ismail Lamaakal

Ismail Lamaakal publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as Advanced Neural Network Applications, IoT and Edge/Fog Computing and Hand Gesture Recognition Systems.

ORCID 0009-0009-6532-2573 OpenAlex
World rank
#114,710
of 7,710,434 ranked researchers
Rank in Morocco
#34
of 14,526
Works
70
Citations
554
Citations per work
7.9
h-index
13
i10-index 15Top 30% in Computer Vision and Pattern Recognition
Ismail Lamaakal

What does Ismail Lamaakal research?

Ismail Lamaakal's work is mostly in Computer Science (64%), Engineering (6%).

Physical Sciences: 49 works · 69.9% of their workComputer Science: 45 works · 63.7% of their workComputer Vision and Pattern Recognition: 18 works · 26.2% of their workArtificial Intelligence: 10 works · 14.9% of their workComputer Networks and Communications: 7 works · 9.7% of their workHuman-Computer Interaction: 5 works · 6.7% of their workInformation Systems: 4 works · 6.2% of their workEngineering: 4 works · 6.2% of their workElectrical and Electronic Engineering: 4 works · 6.2% of their workEverything else: 21 works · 30.1% of their workTHEIR WORKIsmail Lamaakal70works
Physical Sciences70%

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 Science4563.7%
    2. Engineering46.2%
  2. Everything else2130.1%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Computer Networks and Communications10% of their works
  4. 4Human-Computer Interaction7% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Information Systems6% of their works

Research topics

Which keywords describe Ismail Lamaakal's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Neural Networks, Edge Computing, Gesture Recognition, Human-Computer Interaction and Internet of Things.

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 18 words, with their numbers
  1. Deep Learning546 topics
  2. Convolutional Neural Networks151 topic
  3. Image Recognition151 topic
  4. Neural Networks152 topics
  5. Edge Computing101 topic
  6. Gesture Recognition101 topic
  7. Human-Computer Interaction101 topic
  8. Internet of Things101 topic
  9. Action Recognition71 topic
  10. Activity Recognition71 topic
  11. Pervasive Computing71 topic
  12. Pose Estimation71 topic
  13. Ferroelectricity61 topic
  14. Hafnium Oxide61 topic
  15. Adversarial Examples51 topic
  16. Hyperparameter Optimization51 topic
  17. Noisy Labels51 topic
  18. Robustness51 topic

Where does Ismail Lamaakal work?

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

How many publications and citations does Ismail Lamaakal have?

OpenAlex counts 70 works and 554 citations for Ismail Lamaakal, an h-index of 13, ranking #114,710 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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