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Researcher · Huawei Technologies (Sweden) · Sweden

Eduardo Pérez-Pellitero

Eduardo Pérez-Pellitero publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics, on topics such as Advanced Vision and Imaging, Advanced Image Processing Techniques and Image and Signal Denoising Methods.

ORCID 0000-0001-9096-4740 OpenAlex
World rank
#955,167
of 7,710,434 ranked researchers
Rank in Sweden
#12,226
of 71,437
Works
63
Citations
688
Citations per work
10.9
h-index
13
i10-index 15Top 30% in Computer Vision and Pattern Recognition
Eduardo Pérez-Pellitero

What does Eduardo Pérez-Pellitero research?

Eduardo Pérez-Pellitero's work is mostly in Computer Science (59%), Engineering (22%).

Physical Sciences: 51 works · 80.7% of their workComputer Science: 37 works · 59.2% of their workComputer Vision and Pattern Recognition: 36 works · 56.5% of their workArtificial Intelligence: 2 works · 2.7% of their workEngineering: 14 works · 21.5% of their workMedia Technology: 5 works · 7.5% of their workComputational Mechanics: 4 works · 7.0% of their workControl and Systems Engineering: 2 works · 3.8% of their workAerospace Engineering: 2 works · 3.2% of their workEverything else: 12 works · 19.3% of their workTHEIR WORKEduardoPérez-Pellitero63works
Physical Sciences81%

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 Science3759.2%
    2. Engineering1421.5%
  2. Everything else1219.3%
  1. 1Computer Vision and Pattern Recognition56% of their works
  2. 2Media Technology8% of their works
  3. 3Computational Mechanics7% of their works
  4. 4Control and Systems Engineering4% of their works
  5. 5Aerospace Engineering3% of their works
  6. 6Artificial Intelligence3% of their works

Research topics

Which keywords describe Eduardo Pérez-Pellitero's research?

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

All 23 words, with their numbers
  1. Deep Learning635 topics
  2. Convolutional Networks462 topics
  3. Neural Networks393 topics
  4. Unsupervised Learning392 topics
  5. Depth Estimation382 topics
  6. Generative Adversarial Networks292 topics
  7. Optical Flow281 topic
  8. Stereo Vision281 topic
  9. Image Processing192 topics
  10. Image181 topic
  11. Super-Resolution181 topic
  12. Image Denoising131 topic
  13. Sparse Representations131 topic
  14. 3D Reconstruction121 topic
  15. Point Clouds121 topic
  16. Image Inpainting111 topic
  17. Image Synthesis111 topic
  18. Autofocusing101 topic
  19. Microscopy101 topic
  20. Contrast Enhancement91 topic
  21. Dehazing91 topic
  22. 3D Mapping61 topic
  23. SLAM61 topic

Where does Eduardo Pérez-Pellitero work?

Eduardo Pérez-Pellitero's main affiliation in the publication record is Huawei Technologies (Sweden), Sweden.

How many publications and citations does Eduardo Pérez-Pellitero have?

OpenAlex counts 63 works and 688 citations for Eduardo Pérez-Pellitero, an h-index of 13, ranking #955,167 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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