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Researcher · Universidade Estadual de Campinas (UNICAMP) · Brazil

Alexandre X. Falcão

Alexandre X. Falcão publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Medical Image Segmentation Techniques, Advanced Image and Video Retrieval Techniques and Advanced Neural Network Applications.

ORCID 0000-0002-2914-5380 OpenAlex
World rank
#645,735
of 7,710,434 ranked researchers
Rank in Brazil
#3,421
of 253,246
Works
408
Citations
10k
Citations per work
25.0
h-index
51
i10-index 181Top 1.1% in Computer Vision and Pattern Recognition
Alexandre X. Falcão

What does Alexandre X. Falcão research?

Alexandre X. Falcão's work is mostly in Computer Science (54%), Engineering (11%), Medicine (4%).

Physical Sciences: 266 works · 65.3% of their workComputer Science: 222 works · 54.3% of their workComputer Vision and Pattern Recognition: 184 works · 45.1% of their workArtificial Intelligence: 38 works · 9.2% of their workEngineering: 45 works · 11.0% of their workElectrical and Electronic Engineering: 30 works · 7.3% of their workMedia Technology: 15 works · 3.7% of their workEverything else: 111 works · 27.3% of their workHealth Sciences: 17 works · 4.1% of their workMedicine: 17 works · 4.1% of their workRadiology, Nuclear Medicine and Imaging: 17 works · 4.1% of their workLife Sciences: 13 works · 3.3% of their workImmunology and Microbiology: 13 works · 3.3% of their workParasitology: 13 works · 3.3% of their workTHEIR WORKAlexandre X.Falcão408works
Life Sciences3%Physical Sciences65%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 Science22254.3%
    2. Engineering4511.0%
  2. Everything else11127.3%
    1. Medicine174.1%
    1. Immunology and Microbiology133.3%
  1. 1Computer Vision and Pattern Recognition45% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Electrical and Electronic Engineering7% of their works
  4. 4Radiology, Nuclear Medicine and Imaging4% of their works
  5. 5Media Technology4% of their works
  6. 6Parasitology3% of their works

Research topics

Which keywords describe Alexandre X. Falcão's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Machine Learning, Graph Cuts, Medical Image Analysis, Feature Matching, Local Descriptors and Convolutional Neural Networks.

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. Deep Learning4567 topics
  2. Image Segmentation1953 topics
  3. Machine Learning1754 topics
  4. Graph Cuts1261 topic
  5. Medical Image Analysis1261 topic
  6. Feature Matching921 topic
  7. Local Descriptors921 topic
  8. Convolutional Neural Networks781 topic
  9. Image Recognition781 topic
  10. Electricity Theft671 topic
  11. Smart Grids671 topic
  12. Content-Based Image Retrieval591 topic
  13. Shape Matching591 topic
  14. Saliency Detection441 topic
  15. Visual Attention441 topic
  16. Brain Tumor251 topic
  17. MRI251 topic
  18. Bioimage Analysis241 topic
  19. High-Content Screening241 topic

Where does Alexandre X. Falcão work?

Alexandre X. Falcão's main affiliation in the publication record is Universidade Estadual de Campinas (UNICAMP), Brazil.

How many publications and citations does Alexandre X. Falcão have?

OpenAlex counts 408 works and 10,211 citations for Alexandre X. Falcão, an h-index of 51, ranking #645,735 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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