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Researcher · Universidade de São Paulo · Brazil

Mateus Espadoto

Mateus Espadoto publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, on topics such as Data Visualization and Analytics, Neural Networks and Applications and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-1922-4309 OpenAlex
World rank
#3,606,020
of 7,710,434 ranked researchers
Rank in Brazil
#48,726
of 253,246
Works
36
Citations
598
Citations per work
16.6
h-index
11
i10-index 13Top 39% in Computer Vision and Pattern Recognition
Mateus Espadoto

What does Mateus Espadoto research?

Mateus Espadoto's work is mostly in Computer Science (75%), Biochemistry, Genetics and Molecular Biology (3%), Physics and Astronomy (3%).

Physical Sciences: 29 works · 80.3% of their workComputer Science: 27 works · 75.1% of their workComputer Vision and Pattern Recognition: 14 works · 39.6% of their workArtificial Intelligence: 11 works · 31.3% of their workComputer Graphics and Computer-Aided Design: 2 works · 4.2% of their workPhysics and Astronomy: 1 works · 3.1% of their workAstronomy and Astrophysics: 1 works · 3.1% of their workEnvironmental Science: 1 works · 2.1% of their workManagement, Monitoring, Policy and Law: 1 works · 2.1% of their workEverything else: 6 works · 16.6% of their workLife Sciences: 1 works · 3.1% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.1% of their workBiophysics: 1 works · 3.1% of their workTHEIR WORKMateus Espadoto36works
Life Sciences3%Physical Sciences80%

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 Science2775.1%
    2. Physics and Astronomy13.1%
    3. Environmental Science12.1%
  2. Everything else616.6%
    1. Biochemistry, Genetics and Molecular Biology13.1%
  1. 1Computer Vision and Pattern Recognition40% of their works
  2. 2Artificial Intelligence31% of their works
  3. 3Computer Graphics and Computer-Aided Design4% of their works
  4. 4Biophysics3% of their works
  5. 5Astronomy and Astrophysics3% of their works
  6. 6Management, Monitoring, Policy and Law2% of their works

Research topics

Which keywords describe Mateus Espadoto's research?

The keywords of their largest research topics: Big Data, Information Visualization, Visual Analytics, Deep Learning, Neural Networks, Backpropagation Learning, Self-Organizing Maps and Anomaly Detection.

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. Big Data152 topics
  2. Information Visualization121 topic
  3. Visual Analytics121 topic
  4. Deep Learning92 topics
  5. Neural Networks92 topics
  6. Backpropagation Learning51 topic
  7. Self-Organizing Maps51 topic
  8. Anomaly Detection41 topic
  9. Computer Graphics41 topic
  10. Depth Estimation41 topic
  11. Dimensionality Reduction41 topic
  12. Face Recognition41 topic
  13. Stereo Vision41 topic
  14. Unsupervised41 topic
  15. Visualization41 topic
  16. Hyperparameter Optimization31 topic
  17. Noisy Labels31 topic
  18. R language31 topic
  19. Statistical Analysis31 topic

Where does Mateus Espadoto work?

Mateus Espadoto's main affiliation in the publication record is Universidade de São Paulo, Brazil.

How many publications and citations does Mateus Espadoto have?

OpenAlex counts 36 works and 598 citations for Mateus Espadoto, an h-index of 11, ranking #3,606,020 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.

Discussion

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