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Researcher · Télécom Paris · France

Françoise J. Prêteux

Françoise J. Prêteux publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology, on topics such as Medical Image Segmentation Techniques, Video Analysis and Summarization and Robotics and Sensor-Based Localization.

OpenAlex
World rank
#5,822,944
of 7,710,434 ranked researchers
Rank in France
#247,431
of 324,115
Works
23
Citations
120
Citations per work
5.2
h-index
7
i10-index 6Top 69% in Computer Vision and Pattern Recognition
Françoise J. Prêteux

What does Françoise J. Prêteux research?

Françoise J. Prêteux's work is mostly in Computer Science (36%), Engineering (12%), Medicine (12%).

Physical Sciences: 11 works · 48.2% of their workComputer Science: 8 works · 35.7% of their workComputer Vision and Pattern Recognition: 7 works · 32.1% of their workArtificial Intelligence: 1 works · 3.6% of their workEngineering: 3 works · 12.5% of their workMedia Technology: 2 works · 7.1% of their workAerospace Engineering: 1 works · 5.4% of their workEverything else: 7 works · 32.2% of their workHealth Sciences: 3 works · 12.5% of their workMedicine: 3 works · 12.5% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 12.5% of their workSocial Sciences: 2 works · 7.1% of their workSocial Sciences: 2 works · 7.1% of their workSociology and Political Science: 2 works · 7.1% of their workTHEIR WORKFrançoise J.Prêteux23works
Physical Sciences48%Health Sciences12%Social Sciences7%

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 Science835.7%
    2. Engineering312.5%
  2. Everything else732.2%
    1. Medicine312.5%
    1. Social Sciences27.1%
  1. 1Computer Vision and Pattern Recognition32% of their works
  2. 2Radiology, Nuclear Medicine and Imaging12% of their works
  3. 3Media Technology7% of their works
  4. 4Sociology and Political Science7% of their works
  5. 5Aerospace Engineering5% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Françoise J. Prêteux's research?

The keywords of their largest research topics: Deep Learning, Texture Analysis, Medical Image Analysis, Graph Cuts, Image Segmentation, Machine Learning, 3D Mapping and Content-Based Retrieval.

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 Learning103 topics
  2. Texture Analysis92 topics
  3. Medical Image Analysis82 topics
  4. Graph Cuts61 topic
  5. Image Segmentation61 topic
  6. Machine Learning52 topics
  7. 3D Mapping31 topic
  8. Content-Based Retrieval31 topic
  9. Image Fusion31 topic
  10. Interactive Television31 topic
  11. Medical Imaging31 topic
  12. Multispectral31 topic
  13. Radiomics31 topic
  14. SLAM31 topic
  15. Social TV31 topic
  16. Video Summarization31 topic
  17. Computer-Aided Detection21 topic
  18. Feature Matching21 topic
  19. Histopathology Images21 topic
  20. Local Descriptors21 topic

Where does Françoise J. Prêteux work?

Françoise J. Prêteux's main affiliation in the publication record is Télécom Paris, France.

How many publications and citations does Françoise J. Prêteux have?

OpenAlex counts 23 works and 120 citations for Françoise J. Prêteux, an h-index of 7, ranking #5,822,944 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.

Other researchers named Françoise J. Prêteux

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