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Researcher · Technicolor (France) · France

Patrick Pérez

Patrick Pérez publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Advanced Vision and Imaging, Generative Adversarial Networks and Image Synthesis and Advanced Image Processing Techniques.

ORCID 0000-0002-8124-1206 OpenAlex
World rank
#489,778
of 7,710,434 ranked researchers
Rank in France
#25,744
of 324,115
Works
205
Citations
16k
Citations per work
78.4
h-index
32
i10-index 62Top 4.3% in Computer Vision and Pattern Recognition
Patrick Pérez

What does Patrick Pérez research?

Patrick Pérez's work is mostly in Computer Science (60%), Social Sciences (6%), Engineering (4%).

Physical Sciences: 131 works · 64.0% of their workComputer Science: 122 works · 59.7% of their workComputer Vision and Pattern Recognition: 96 works · 46.8% of their workSignal Processing: 15 works · 7.4% of their workArtificial Intelligence: 11 works · 5.5% of their workEngineering: 9 works · 4.3% of their workComputational Mechanics: 9 works · 4.3% of their workEverything else: 54 works · 26.2% of their workSocial Sciences: 11 works · 5.5% of their workSocial Sciences: 11 works · 5.5% of their workSociology and Political Science: 11 works · 5.5% of their workHealth Sciences: 9 works · 4.3% of their workMedicine: 9 works · 4.3% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 4.3% of their workTHEIR WORKPatrick Pérez205works
Physical Sciences64%Health Sciences4%Social Sciences6%

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 Science12259.7%
    2. Engineering94.3%
  2. Everything else5426.2%
    1. Social Sciences115.5%
    1. Medicine94.3%
  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Signal Processing7% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Sociology and Political Science6% of their works
  5. 5Computational Mechanics4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Patrick Pérez's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Convolutional Networks, Neural Networks, Depth Estimation, Stereo Vision, Generative Adversarial Networks and Image Inpainting.

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 21 words, with their numbers
  1. Deep Learning1236 topics
  2. Unsupervised Learning912 topics
  3. Convolutional Networks862 topics
  4. Neural Networks703 topics
  5. Depth Estimation611 topic
  6. Stereo Vision611 topic
  7. Generative Adversarial Networks552 topics
  8. Image Inpainting301 topic
  9. Image Synthesis301 topic
  10. Image251 topic
  11. Super-Resolution251 topic
  12. Feature Matching201 topic
  13. Image Segmentation201 topic
  14. Local Descriptors201 topic
  15. Medical Image Analysis201 topic
  16. Audio-Visual Speech Recognition151 topic
  17. Speech Enhancement151 topic
  18. Computer Graphics141 topic
  19. Visualization141 topic
  20. Object Tracking131 topic
  21. Visual Tracking131 topic

Where does Patrick Pérez work?

Patrick Pérez's main affiliation in the publication record is Technicolor (France), France.

How many publications and citations does Patrick Pérez have?

OpenAlex counts 205 works and 16,069 citations for Patrick Pérez, an h-index of 32, ranking #489,778 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 Patrick Pérez

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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