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Researcher · Universidade Federal de Viçosa · Brazil

Lucas Silva de Sousa

Lucas Silva de Sousa publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Food Science, on topics such as Face and Expression Recognition, Proteins in Food Systems and Machine Learning and ELM.

ORCID 0000-0002-5615-9235 OpenAlex
World rank
#5,538,338
of 7,710,434 ranked researchers
Rank in Brazil
#118,429
of 253,246
Works
17
Citations
89
Citations per work
5.2
h-index
3
i10-index 2Top 97% in Computer Vision and Pattern Recognition
Lucas Silva de Sousa

What does Lucas Silva de Sousa research?

Lucas Silva de Sousa's work is mostly in Computer Science (29%), Agricultural and Biological Sciences (13%), Biochemistry, Genetics and Molecular Biology (7%).

Everything else: 7 works · 42.3% of their workPhysical Sciences: 6 works · 33.3% of their workComputer Science: 5 works · 28.9% of their workComputer Vision and Pattern Recognition: 3 works · 15.6% of their workArtificial Intelligence: 2 works · 13.3% of their workEngineering: 1 works · 4.4% of their workElectrical and Electronic Engineering: 1 works · 4.4% of their workLife Sciences: 3 works · 20.0% of their workAgricultural and Biological Sciences: 2 works · 13.3% of their workFood Science: 2 works · 13.3% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 6.7% of their workMolecular Biology: 1 works · 6.7% of their workHealth Sciences: 1 works · 4.4% of their workMedicine: 1 works · 4.4% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.4% of their workTHEIR WORKLucas Silva deSousa17works
Life Sciences20%Physical Sciences33%Health Sciences4%

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. Everything else742.3%
    1. Computer Science528.9%
    2. Engineering14.4%
    1. Agricultural and Biological Sciences213.3%
    2. Biochemistry, Genetics and Molecular Biology16.7%
    1. Medicine14.4%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Food Science13% of their works
  4. 4Molecular Biology7% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Lucas Silva de Sousa's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Dimensionality Reduction, Face Recognition, Lipid Oxidation, Extreme Learning Machine, Feedforward Networks and Nanoemulsions.

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 19 words, with their numbers
  1. Neural Networks52 topics
  2. Deep Learning42 topics
  3. Dimensionality Reduction41 topic
  4. Face Recognition41 topic
  5. Lipid Oxidation42 topics
  6. Extreme Learning Machine31 topic
  7. Feedforward Networks31 topic
  8. Nanoemulsions31 topic
  9. Proteins31 topic
  10. Backpropagation Learning21 topic
  11. COVID-1921 topic
  12. Diabetic Retinopathy21 topic
  13. Leukemia Classification21 topic
  14. Malaria Parasite Detection21 topic
  15. Ocular Findings21 topic
  16. Retinal Disease21 topic
  17. Self-Organizing Maps21 topic
  18. Meat Quality11 topic
  19. Protein Oxidation11 topic

Where does Lucas Silva de Sousa work?

Lucas Silva de Sousa's main affiliation in the publication record is Universidade Federal de Viçosa, Brazil.

How many publications and citations does Lucas Silva de Sousa have?

OpenAlex counts 17 works and 89 citations for Lucas Silva de Sousa, an h-index of 3, ranking #5,538,338 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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