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Researcher · Universidade Regional de Blumenau · Brazil

Fábio Luis Perez

Fábio Luis Perez publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Advanced Adaptive Filtering Techniques, High voltage insulation and dielectric phenomena and Advanced Neural Network Applications.

ORCID 0000-0001-5223-1562 OpenAlex
World rank
#2,604,144
of 7,710,434 ranked researchers
Rank in Brazil
#27,588
of 253,246
Works
18
Citations
383
Citations per work
21.3
h-index
7
i10-index 7Top 65% in Artificial Intelligence
Fábio Luis Perez

What does Fábio Luis Perez research?

Fábio Luis Perez's work is mostly in Computer Science (44%), Engineering (8%), Materials Science (8%).

Physical Sciences: 12 works · 66.7% of their workComputer Science: 8 works · 43.8% of their workArtificial Intelligence: 4 works · 22.9% of their workComputer Vision and Pattern Recognition: 3 works · 14.6% of their workSignal Processing: 1 works · 6.3% of their workEngineering: 1 works · 8.3% of their workComputational Mechanics: 1 works · 8.3% of their workMaterials Science: 1 works · 8.3% of their workMaterials Chemistry: 1 works · 8.3% of their workEnvironmental Science: 1 works · 6.3% of their workWater Science and Technology: 1 works · 6.3% of their workEverything else: 6 works · 33.3% of their workTHEIR WORKFábio Luis Perez18works
Physical Sciences67%

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 Science843.8%
    2. Engineering18.3%
    3. Materials Science18.3%
    4. Environmental Science16.3%
  2. Everything else633.3%
  1. 1Artificial Intelligence23% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Computational Mechanics8% of their works
  4. 4Materials Chemistry8% of their works
  5. 5Signal Processing6% of their works
  6. 6Water Science and Technology6% of their works

Research topics

Which keywords describe Fábio Luis Perez's research?

The keywords of their largest research topics: Deep Learning, Image Classification, Adaptive Filtering, Dielectrics, Machine Learning, Nanocomposites, Non-Gaussian Signal Processing and Blind Separation.

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 19 words, with their numbers
  1. Deep Learning83 topics
  2. Image Classification52 topics
  3. Adaptive Filtering41 topic
  4. Dielectrics41 topic
  5. Machine Learning42 topics
  6. Nanocomposites41 topic
  7. Non-Gaussian Signal Processing41 topic
  8. Blind Separation31 topic
  9. Contrast Enhancement31 topic
  10. Convolutional Neural Networks31 topic
  11. Dehazing31 topic
  12. Image Recognition31 topic
  13. Independent Component Analysis31 topic
  14. Active Learning21 topic
  15. Data Mining21 topic
  16. Frequent Patterns21 topic
  17. Neural Networks21 topic
  18. Semi-Supervised Learning21 topic
  19. Word Representation21 topic

Where does Fábio Luis Perez work?

Fábio Luis Perez's main affiliation in the publication record is Universidade Regional de Blumenau, Brazil.

How many publications and citations does Fábio Luis Perez have?

OpenAlex counts 18 works and 383 citations for Fábio Luis Perez, an h-index of 7, ranking #2,604,144 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.

Discussion

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