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Researcher · Paris-Est Sup · France

Véronique Amarger

Véronique Amarger publishes mostly in Artificial Intelligence, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering, on topics such as Neural Networks and Applications, Industrial Vision Systems and Defect Detection and Fuzzy Logic and Control Systems.

OpenAlex
World rank
#6,794,915
of 7,710,434 ranked researchers
Rank in France
#290,161
of 324,115
Works
23
Citations
87
Citations per work
3.8
h-index
4
i10-index 4Top 90% in Artificial Intelligence
Véronique Amarger

What does Véronique Amarger research?

Véronique Amarger's work is mostly in Computer Science (34%), Engineering (34%).

Physical Sciences: 16 works · 68.8% of their workComputer Science: 8 works · 34.4% of their workArtificial Intelligence: 6 works · 28.1% of their workComputer Vision and Pattern Recognition: 1 works · 6.3% of their workEngineering: 8 works · 34.4% of their workIndustrial and Manufacturing Engineering: 3 works · 10.9% of their workElectrical and Electronic Engineering: 2 works · 9.4% of their workControl and Systems Engineering: 2 works · 7.8% of their workMechanical Engineering: 1 works · 6.3% of their workEverything else: 7 works · 31.2% of their workTHEIR WORKVéronique Amarger23works
Physical Sciences69%

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 Science834.4%
    2. Engineering834.4%
  2. Everything else731.2%
  1. 1Artificial Intelligence28% of their works
  2. 2Industrial and Manufacturing Engineering11% of their works
  3. 3Electrical and Electronic Engineering9% of their works
  4. 4Control and Systems Engineering8% of their works
  5. 5Mechanical Engineering6% of their works
  6. 6Computer Vision and Pattern Recognition6% of their works

Research topics

Which keywords describe Véronique Amarger's research?

The keywords of their largest research topics: Deep Learning, Artificial Neural Networks, Neural Networks, Backpropagation Learning, Self-Organizing Maps, Machine Learning, Fabric Defect Detection and Machine Vision.

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 Learning233 topics
  2. Artificial Neural Networks162 topics
  3. Neural Networks162 topics
  4. Backpropagation Learning131 topic
  5. Self-Organizing Maps131 topic
  6. Machine Learning102 topics
  7. Fabric Defect Detection71 topic
  8. Machine Vision71 topic
  9. Fault Detection51 topic
  10. Fuzzy Logic Systems51 topic
  11. Process Monitoring51 topic
  12. Type-2 Fuzzy Sets51 topic
  13. Building Energy Consumption31 topic
  14. Electricity Price Forecasting31 topic
  15. Load Forecasting31 topic
  16. Thermal Comfort31 topic
  17. Adaptive Filtering21 topic
  18. Dimensionality Reduction21 topic
  19. Face Recognition21 topic
  20. Non-Gaussian Signal Processing21 topic

Where does Véronique Amarger work?

Véronique Amarger's main affiliation in the publication record is Paris-Est Sup, France.

How many publications and citations does Véronique Amarger have?

OpenAlex counts 23 works and 87 citations for Véronique Amarger, an h-index of 4, ranking #6,794,915 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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