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Researcher · Institut Polytechnique de Paris · France

Amel Bouzeghoub

Amel Bouzeghoub publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Semantic Web and Ontologies, Context-Aware Activity Recognition Systems and Recommender Systems and Techniques.

ORCID 0000-0003-4890-9005 OpenAlex
World rank
#4,005,793
of 7,710,434 ranked researchers
Rank in France
#168,638
of 324,115
Works
156
Citations
1k
Citations per work
6.5
h-index
18
i10-index 34Top 16% in Artificial Intelligence
Amel Bouzeghoub

What does Amel Bouzeghoub research?

Amel Bouzeghoub's work is mostly in Computer Science (70%).

Physical Sciences: 109 works · 69.6% of their workComputer Science: 109 works · 69.6% of their workArtificial Intelligence: 45 works · 29.0% of their workInformation Systems: 18 works · 11.6% of their workComputer Networks and Communications: 15 works · 9.5% of their workComputer Vision and Pattern Recognition: 14 works · 9.1% of their workComputer Science Applications: 8 works · 5.2% of their workSignal Processing: 8 works · 5.2% of their workEverything else: 47 works · 30.4% of their workTHEIR WORKAmel Bouzeghoub156works
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 Science10969.6%
  2. Everything else4730.4%
  1. 1Artificial Intelligence29% of their works
  2. 2Information Systems12% of their works
  3. 3Computer Networks and Communications10% of their works
  4. 4Computer Vision and Pattern Recognition9% of their works
  5. 5Computer Science Applications5% of their works
  6. 6Signal Processing5% of their works

Research topics

Which keywords describe Amel Bouzeghoub's research?

The keywords of their largest research topics: Deep Learning, Ontology, Semantic Web, Activity Recognition, Pervasive Computing, Online Learning, Collaborative Filtering and Matrix Factorization.

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 Learning663 topics
  2. Ontology381 topic
  3. Semantic Web381 topic
  4. Activity Recognition291 topic
  5. Pervasive Computing291 topic
  6. Online Learning282 topics
  7. Collaborative Filtering261 topic
  8. Matrix Factorization261 topic
  9. Learning Object Repositories171 topic
  10. Open Educational Resources171 topic
  11. GPS Trajectories141 topic
  12. Trajectory Data Mining141 topic
  13. Bandit Optimization111 topic
  14. Bayesian Optimization111 topic
  15. Edge Computing111 topic
  16. Internet of Things111 topic
  17. Continuous Queries101 topic
  18. Data Stream Management101 topic

Where does Amel Bouzeghoub work?

Amel Bouzeghoub's main affiliation in the publication record is Institut Polytechnique de Paris, France.

How many publications and citations does Amel Bouzeghoub have?

OpenAlex counts 156 works and 1,009 citations for Amel Bouzeghoub, an h-index of 18, ranking #4,005,793 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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