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Researcher · BOE Technology Group (China) · China

Pablo Navarrete Michelini

Pablo Navarrete Michelini publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering, on topics such as Advanced Image Processing Techniques, Advanced Vision and Imaging and Image and Signal Denoising Methods.

ORCID 0000-0002-6293-9668 OpenAlex
World rank
#981,821
of 7,710,434 ranked researchers
Rank in China
#137,575
of 978,568
Works
50
Citations
1.4k
Citations per work
27.3
h-index
18
i10-index 23Top 17% in Computer Vision and Pattern Recognition
Pablo Navarrete Michelini

What does Pablo Navarrete Michelini research?

Pablo Navarrete Michelini's work is mostly in Computer Science (64%), Engineering (18%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 41 works · 81.8% of their workComputer Science: 32 works · 64.2% of their workComputer Vision and Pattern Recognition: 31 works · 62.2% of their workComputational Theory and Mathematics: 1 works · 2.0% of their workEngineering: 9 works · 17.6% of their workMedia Technology: 5 works · 10.1% of their workElectrical and Electronic Engineering: 2 works · 4.1% of their workAerospace Engineering: 2 works · 3.4% of their workEverything else: 7 works · 14.1% of their workLife Sciences: 2 works · 4.1% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 4.1% of their workBiophysics: 2 works · 4.1% of their workTHEIR WORKPablo NavarreteMichelini50works
Life Sciences4%Physical Sciences82%

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 Science3264.2%
    2. Engineering917.6%
  2. Everything else714.1%
    1. Biochemistry, Genetics and Molecular Biology24.1%
  1. 1Computer Vision and Pattern Recognition62% of their works
  2. 2Media Technology10% of their works
  3. 3Electrical and Electronic Engineering4% of their works
  4. 4Biophysics4% of their works
  5. 5Aerospace Engineering3% of their works
  6. 6Computational Theory and Mathematics2% of their works

Research topics

Which keywords describe Pablo Navarrete Michelini's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Neural Networks, Image, Super-Resolution, Depth Estimation, Image Processing and Optical Flow.

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.

All 22 words, with their numbers
  1. Deep Learning685 topics
  2. Convolutional Networks582 topics
  3. Neural Networks482 topics
  4. Image361 topic
  5. Super-Resolution361 topic
  6. Depth Estimation342 topics
  7. Image Processing283 topics
  8. Optical Flow221 topic
  9. Stereo Vision221 topic
  10. Microscopy172 topics
  11. Autofocusing121 topic
  12. Image Denoising121 topic
  13. Shape from Focus121 topic
  14. Sparse Representations121 topic
  15. Contrast Enhancement111 topic
  16. Dehazing111 topic
  17. Bioimage Analysis51 topic
  18. High-Content Screening51 topic
  19. Negative Ion Sources51 topic
  20. Superconducting Cavities51 topic
  21. Image Quality Assessment41 topic
  22. Perceptual Quality41 topic

Where does Pablo Navarrete Michelini work?

Pablo Navarrete Michelini's main affiliation in the publication record is BOE Technology Group (China), China.

How many publications and citations does Pablo Navarrete Michelini have?

OpenAlex counts 50 works and 1,367 citations for Pablo Navarrete Michelini, an h-index of 18, ranking #981,821 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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