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Researcher · Advanced Technologies Application Center · Cuba

Francisco José Silva Mata

Francisco José Silva Mata publishes mostly in Computer Vision and Pattern Recognition, Analytical Chemistry and Biomedical Engineering, on topics such as Face and Expression Recognition, Face recognition and analysis and Spectroscopy and Chemometric Analyses.

ORCID 0000-0002-5030-8463 OpenAlex
World rank
#7,251,274
of 7,710,434 ranked researchers
Rank in Cuba
#5,563
of 7,334
Works
28
Citations
64
Citations per work
2.3
h-index
5
i10-index 0Top 87% in Computer Vision and Pattern Recognition
Francisco José Silva Mata

What does Francisco José Silva Mata research?

Francisco José Silva Mata's work is mostly in Computer Science (54%), Chemistry (12%), Engineering (5%).

Physical Sciences: 20 works · 71.6% of their workComputer Science: 15 works · 54.0% of their workComputer Vision and Pattern Recognition: 14 works · 48.6% of their workSignal Processing: 2 works · 5.4% of their workChemistry: 3 works · 12.2% of their workAnalytical Chemistry: 3 works · 12.2% of their workEngineering: 2 works · 5.4% of their workBiomedical Engineering: 2 works · 5.4% of their workEverything else: 6 works · 21.6% of their workHealth Sciences: 1 works · 4.1% of their workMedicine: 1 works · 4.1% of their workSurgery: 1 works · 4.1% of their workLife Sciences: 1 works · 2.7% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 2.7% of their workMolecular Biology: 1 works · 2.7% of their workTHEIR WORKFrancisco JoséSilva Mata28works
Life Sciences3%Physical Sciences72%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. Computer Science1554.0%
    2. Chemistry312.2%
    3. Engineering25.4%
  2. Everything else621.6%
    1. Medicine14.1%
    1. Biochemistry, Genetics and Molecular Biology12.7%
  1. 1Computer Vision and Pattern Recognition49% of their works
  2. 2Analytical Chemistry12% of their works
  3. 3Biomedical Engineering5% of their works
  4. 4Signal Processing5% of their works
  5. 5Surgery4% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Francisco José Silva Mata's research?

The keywords of their largest research topics: Face Recognition, Deep Learning, Local Binary Patterns, Age Estimation, Dimensionality Reduction, Facial Landmark Detection, Feature Selection and Multivariate Calibration.

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. Face Recognition182 topics
  2. Deep Learning122 topics
  3. Local Binary Patterns122 topics
  4. Age Estimation91 topic
  5. Dimensionality Reduction91 topic
  6. Facial Landmark Detection91 topic
  7. Feature Selection91 topic
  8. Multivariate Calibration71 topic
  9. Near-Infrared Spectroscopy71 topic
  10. Biometric Recognition41 topic
  11. Security41 topic
  12. Breath Analysis31 topic
  13. Content-Based Image Retrieval31 topic
  14. Electronic Nose31 topic
  15. Feature Matching31 topic
  16. Fragmented Objects31 topic
  17. Local Descriptors31 topic
  18. Reconstruction31 topic
  19. Shape Matching31 topic

Where does Francisco José Silva Mata work?

Francisco José Silva Mata's main affiliation in the publication record is Advanced Technologies Application Center, Cuba.

How many publications and citations does Francisco José Silva Mata have?

OpenAlex counts 28 works and 64 citations for Francisco José Silva Mata, an h-index of 5, ranking #7,251,274 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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