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Researcher · National Research Council Canada · Canada

Nabil Belacel

Nabil Belacel publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Anomaly Detection Techniques and Applications, Advanced Clustering Algorithms Research and Imbalanced Data Classification Techniques.

ORCID 0000-0003-1731-3225 OpenAlex
World rank
#1,607,193
of 7,710,434 ranked researchers
Rank in Canada
#53,898
of 183,316
Works
83
Citations
1.5k
Citations per work
18.0
h-index
20
i10-index 29Top 13% in Artificial Intelligence
Nabil Belacel

What does Nabil Belacel research?

Nabil Belacel's work is mostly in Computer Science (46%), Biochemistry, Genetics and Molecular Biology (12%), Engineering (4%).

Physical Sciences: 42 works · 50.4% of their workComputer Science: 39 works · 46.5% of their workArtificial Intelligence: 23 works · 27.6% of their workComputer Vision and Pattern Recognition: 8 works · 9.5% of their workInformation Systems: 5 works · 6.0% of their workComputer Networks and Communications: 3 works · 3.4% of their workEngineering: 3 works · 3.9% of their workElectrical and Electronic Engineering: 3 works · 3.9% of their workEverything else: 31 works · 37.5% of their workLife Sciences: 10 works · 12.1% of their workBiochemistry, Genetics and Molecular Biology: 10 works · 12.1% of their workMolecular Biology: 10 works · 12.1% of their workTHEIR WORKNabil Belacel83works
Life Sciences12%Physical Sciences50%

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 Science3946.5%
    2. Engineering33.9%
  2. Everything else3137.5%
    1. Biochemistry, Genetics and Molecular Biology1012.1%
  1. 1Artificial Intelligence28% of their works
  2. 2Molecular Biology12% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Information Systems6% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Nabil Belacel's research?

The keywords of their largest research topics: High-Dimensional Data, Deep Learning, Evolutionary Algorithms, Machine Learning, Anomaly Detection, Clustering Algorithms, K-means and Unsupervised.

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.

All 20 words, with their numbers
  1. High-Dimensional Data182 topics
  2. Deep Learning162 topics
  3. Evolutionary Algorithms152 topics
  4. Machine Learning132 topics
  5. Anomaly Detection91 topic
  6. Clustering Algorithms91 topic
  7. K-means91 topic
  8. Unsupervised91 topic
  9. Classification71 topic
  10. Concept Drift71 topic
  11. Content-Based Image Retrieval71 topic
  12. Data Streams71 topic
  13. Feature Matching71 topic
  14. Imbalanced Data71 topic
  15. Local Descriptors71 topic
  16. Shape Matching71 topic
  17. Differential Evolution61 topic
  18. Gene Expression61 topic
  19. Microarray61 topic
  20. Particle Swarm Optimization61 topic

Where does Nabil Belacel work?

Nabil Belacel's main affiliation in the publication record is National Research Council Canada, Canada.

How many publications and citations does Nabil Belacel have?

OpenAlex counts 83 works and 1,494 citations for Nabil Belacel, an h-index of 20, ranking #1,607,193 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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