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Researcher · Euskadiko Parke Teknologikoa · Spain

Aitor Álvarez-Gila

Aitor Álvarez-Gila publishes mostly in Computer Vision and Pattern Recognition, Plant Science and Media Technology, on topics such as Image Enhancement Techniques, Advanced Image Fusion Techniques and Smart Agriculture and AI.

ORCID 0000-0002-5955-3211 OpenAlex
World rank
#893,272
of 7,710,434 ranked researchers
Rank in Spain
#17,451
of 204,306
Works
29
Citations
3.3k
Citations per work
114.0
h-index
12
i10-index 12Top 34% in Computer Vision and Pattern Recognition
Aitor Álvarez-Gila

What does Aitor Álvarez-Gila research?

Aitor Álvarez-Gila's work is mostly in Computer Science (38%), Engineering (13%), Agricultural and Biological Sciences (12%).

Physical Sciences: 15 works · 50.1% of their workComputer Science: 11 works · 37.5% of their workComputer Vision and Pattern Recognition: 9 works · 30.0% of their workArtificial Intelligence: 2 works · 7.5% of their workEngineering: 4 works · 12.6% of their workMedia Technology: 3 works · 8.8% of their workAerospace Engineering: 1 works · 3.8% of their workEverything else: 10 works · 33.6% of their workLife Sciences: 5 works · 16.3% of their workAgricultural and Biological Sciences: 4 works · 12.5% of their workPlant Science: 4 works · 12.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.8% of their workCell Biology: 1 works · 3.8% of their workTHEIR WORKAitorÁlvarez-Gila29works
Life Sciences16%Physical Sciences50%

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 Science1137.5%
    2. Engineering412.6%
  2. Everything else1033.6%
    1. Agricultural and Biological Sciences412.5%
    2. Biochemistry, Genetics and Molecular Biology13.8%
  1. 1Computer Vision and Pattern Recognition30% of their works
  2. 2Plant Science12% of their works
  3. 3Media Technology9% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Cell Biology4% of their works
  6. 6Aerospace Engineering4% of their works

Research topics

Which keywords describe Aitor Álvarez-Gila's research?

The keywords of their largest research topics: Deep Learning, Image Processing, Convolutional Neural Networks, Machine Learning, Contrast Enhancement, Dehazing, Image Fusion and Multispectral.

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 Learning205 topics
  2. Image Processing92 topics
  3. Convolutional Neural Networks72 topics
  4. Machine Learning72 topics
  5. Contrast Enhancement51 topic
  6. Dehazing51 topic
  7. Image Fusion51 topic
  8. Multispectral51 topic
  9. Image Recognition41 topic
  10. Object Detection41 topic
  11. Plant Disease Detection41 topic
  12. Saliency Detection41 topic
  13. Smart Farming41 topic
  14. Visual Attention41 topic
  15. Grafting31 topic
  16. Histopathology Images31 topic
  17. Medical Image Analysis31 topic
  18. Soilborne Pathogens31 topic
  19. Endophytic Fungi21 topic
  20. Fungal Pathogens21 topic

Where does Aitor Álvarez-Gila work?

Aitor Álvarez-Gila's main affiliation in the publication record is Euskadiko Parke Teknologikoa, Spain.

How many publications and citations does Aitor Álvarez-Gila have?

OpenAlex counts 29 works and 3,305 citations for Aitor Álvarez-Gila, an h-index of 12, ranking #893,272 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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