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Researcher · Universidade do Porto · Portugal

Sí­lvia Bessa

Sí­lvia Bessa publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, on topics such as AI in cancer detection, 3D Shape Modeling and Analysis and Medical Image Segmentation Techniques.

ORCID 0000-0001-7924-358X OpenAlex
World rank
#6,630,675
of 7,710,434 ranked researchers
Rank in Portugal
#36,312
of 41,760
Works
15
Citations
75
Citations per work
5.0
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Sí­lvia Bessa

What does Sí­lvia Bessa research?

Sí­lvia Bessa's work is mostly in Computer Science (40%), Engineering (21%), Medicine (12%).

Physical Sciences: 9 works · 60.5% of their workComputer Science: 6 works · 39.5% of their workComputer Vision and Pattern Recognition: 3 works · 20.9% of their workArtificial Intelligence: 3 works · 18.6% of their workEngineering: 3 works · 21.0% of their workComputational Mechanics: 2 works · 14.0% of their workBiomedical Engineering: 1 works · 7.0% of their workEverything else: 3 works · 23.2% of their workHealth Sciences: 2 works · 11.6% of their workMedicine: 2 works · 11.6% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 11.6% of their workLife Sciences: 1 works · 4.7% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.7% of their workBiophysics: 1 works · 4.7% of their workTHEIR WORKSí­lvia Bessa15works
Life Sciences5%Physical Sciences60%Health Sciences12%

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 Science639.5%
    2. Engineering321.0%
  2. Everything else323.2%
    1. Medicine211.6%
    1. Biochemistry, Genetics and Molecular Biology14.7%
  1. 1Computer Vision and Pattern Recognition21% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Computational Mechanics14% of their works
  4. 4Radiology, Nuclear Medicine and Imaging12% of their works
  5. 5Biomedical Engineering7% of their works
  6. 6Biophysics5% of their works

Research topics

Which keywords describe Sí­lvia Bessa's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Medical Image Analysis, Convolutional Neural Networks, Computer-Aided Detection, Histopathology Images, Texture Analysis and 3D Reconstruction.

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 21 words, with their numbers
  1. Deep Learning215 topics
  2. Machine Learning123 topics
  3. Medical Image Analysis122 topics
  4. Convolutional Neural Networks102 topics
  5. Computer-Aided Detection81 topic
  6. Histopathology Images81 topic
  7. Texture Analysis72 topics
  8. 3D Reconstruction61 topic
  9. Point Clouds61 topic
  10. Graph Cuts41 topic
  11. Image Segmentation41 topic
  12. Medical Imaging31 topic
  13. Radiomics31 topic
  14. Face Recognition21 topic
  15. Facial Landmark Detection21 topic
  16. Imaging21 topic
  17. PET/CT21 topic
  18. Bioimage Analysis11 topic
  19. Fluorescent Proteins11 topic
  20. High-Content Screening11 topic
  21. Super-Resolution Imaging11 topic

Where does Sí­lvia Bessa work?

Sí­lvia Bessa's main affiliation in the publication record is Universidade do Porto, Portugal.

How many publications and citations does Sí­lvia Bessa have?

OpenAlex counts 15 works and 75 citations for Sí­lvia Bessa, an h-index of 5, ranking #6,630,675 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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