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Researcher · Universidade Federal do Acre · Brazil

Thuanne Paixão

Thuanne Paixão publishes mostly in Computer Vision and Pattern Recognition, Biomedical Engineering and Surgery, on topics such as Image and Signal Denoising Methods, Image Enhancement Techniques and Advanced Image Processing Techniques.

ORCID 0000-0002-5563-8971 OpenAlex
World rank
#1,207,762
of 7,710,434 ranked researchers
Rank in Brazil
#8,381
of 253,246
Works
21
Citations
231
Citations per work
11.0
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Thuanne Paixão

What does Thuanne Paixão research?

Thuanne Paixão's work is mostly in Computer Science (33%), Engineering (23%), Environmental Science (5%).

Physical Sciences: 13 works · 61.6% of their workComputer Science: 7 works · 33.3% of their workComputer Vision and Pattern Recognition: 7 works · 33.3% of their workEngineering: 5 works · 23.3% of their workBiomedical Engineering: 3 works · 15.0% of their workIndustrial and Manufacturing Engineering: 1 works · 5.0% of their workMedia Technology: 1 works · 3.3% of their workEnvironmental Science: 1 works · 5.0% of their workEnvironmental Engineering: 1 works · 5.0% of their workEverything else: 7 works · 33.4% of their workHealth Sciences: 1 works · 5.0% of their workMedicine: 1 works · 5.0% of their workSurgery: 1 works · 5.0% of their workTHEIR WORKThuanne Paixão21works
Physical Sciences62%Health Sciences5%

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 Science733.3%
    2. Engineering523.3%
    3. Environmental Science15.0%
  2. Everything else733.4%
    1. Medicine15.0%
  1. 1Computer Vision and Pattern Recognition33% of their works
  2. 2Biomedical Engineering15% of their works
  3. 3Surgery5% of their works
  4. 4Environmental Engineering5% of their works
  5. 5Industrial and Manufacturing Engineering5% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe Thuanne Paixão's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Generative Adversarial Networks, Image Processing, Neural Networks, Contrast Enhancement, Dehazing and Image Denoising.

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 Learning288 topics
  2. Convolutional Neural Networks72 topics
  3. Generative Adversarial Networks72 topics
  4. Image Processing72 topics
  5. Neural Networks72 topics
  6. Contrast Enhancement51 topic
  7. Dehazing51 topic
  8. Image Denoising51 topic
  9. Sparse Representations51 topic
  10. Image41 topic
  11. Spine Segmentation41 topic
  12. Super-Resolution41 topic
  13. Vertebrae Detection41 topic
  14. Fabric Defect Detection31 topic
  15. Image Inpainting31 topic
  16. Image Synthesis31 topic
  17. Machine Vision31 topic
  18. Image Recognition21 topic
  19. Object Detection21 topic
  20. Plant Disease Detection21 topic
  21. Smart Farming21 topic

Where does Thuanne Paixão work?

Thuanne Paixão's main affiliation in the publication record is Universidade Federal do Acre, Brazil.

How many publications and citations does Thuanne Paixão have?

OpenAlex counts 21 works and 231 citations for Thuanne Paixão, an h-index of 9, ranking #1,207,762 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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