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Researcher · Université Gustave Eiffel · France

Rachid Belaroussi

Rachid Belaroussi publishes mostly in Computer Vision and Pattern Recognition, Transportation and Automotive Engineering, on topics such as Face and Expression Recognition, Face recognition and analysis and Robotics and Sensor-Based Localization.

ORCID 0000-0001-8783-1226 OpenAlex
World rank
#836,961
of 7,710,434 ranked researchers
Rank in France
#40,356
of 324,115
Works
72
Citations
844
Citations per work
11.7
h-index
15
i10-index 23Top 23% in Computer Vision and Pattern Recognition
Rachid Belaroussi

What does Rachid Belaroussi research?

Rachid Belaroussi's work is mostly in Computer Science (40%), Engineering (16%), Social Sciences (11%).

Physical Sciences: 42 works · 58.5% of their workComputer Science: 29 works · 40.5% of their workComputer Vision and Pattern Recognition: 26 works · 36.6% of their workArtificial Intelligence: 3 works · 3.9% of their workEngineering: 11 works · 15.6% of their workAutomotive Engineering: 7 works · 10.2% of their workAerospace Engineering: 4 works · 5.4% of their workEnvironmental Science: 2 works · 2.4% of their workHealth, Toxicology and Mutagenesis: 2 works · 2.4% of their workEverything else: 22 works · 30.8% of their workSocial Sciences: 8 works · 10.7% of their workSocial Sciences: 8 works · 10.7% of their workTransportation: 8 works · 10.7% of their workTHEIR WORKRachid Belaroussi72works
Physical Sciences58%Social Sciences11%

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 Science2940.5%
    2. Engineering1115.6%
    3. Environmental Science22.4%
  2. Everything else2230.8%
    1. Social Sciences810.7%
  1. 1Computer Vision and Pattern Recognition37% of their works
  2. 2Transportation11% of their works
  3. 3Automotive Engineering10% of their works
  4. 4Aerospace Engineering5% of their works
  5. 5Artificial Intelligence4% of their works
  6. 6Health, Toxicology and Mutagenesis2% of their works

Research topics

Which keywords describe Rachid Belaroussi's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Local Binary Patterns, Machine Learning, Dimensionality Reduction, Feature Selection, Age Estimation and Facial Landmark Detection.

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 20 words, with their numbers
  1. Deep Learning323 topics
  2. Face Recognition272 topics
  3. Local Binary Patterns252 topics
  4. Machine Learning202 topics
  5. Dimensionality Reduction151 topic
  6. Feature Selection151 topic
  7. Age Estimation121 topic
  8. Facial Landmark Detection121 topic
  9. 3D Mapping111 topic
  10. Active Travel111 topic
  11. Built Environment111 topic
  12. SLAM111 topic
  13. Autonomous Vehicles101 topic
  14. Content-Based Image Retrieval101 topic
  15. Feature Matching101 topic
  16. Local Descriptors101 topic
  17. Shape Matching101 topic
  18. Trajectory Prediction101 topic
  19. Public Transport81 topic
  20. Travel Behavior81 topic

Where does Rachid Belaroussi work?

Rachid Belaroussi's main affiliation in the publication record is Université Gustave Eiffel, France.

How many publications and citations does Rachid Belaroussi have?

OpenAlex counts 72 works and 844 citations for Rachid Belaroussi, an h-index of 15, ranking #836,961 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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