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Researcher · Universidade Federal do Maranhão · Brazil

Jonnison Lima Ferreira

Jonnison Lima Ferreira publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Advanced Neural Network Applications, AI in cancer detection and Medical Image Segmentation Techniques.

ORCID 0000-0003-4075-4707 OpenAlex
World rank
#1,852,271
of 7,710,434 ranked researchers
Rank in Brazil
#15,995
of 253,246
Works
21
Citations
675
Citations per work
32.1
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Jonnison Lima Ferreira

What does Jonnison Lima Ferreira research?

Jonnison Lima Ferreira's work is mostly in Computer Science (39%), Medicine (23%), Social Sciences (7%).

Physical Sciences: 9 works · 43.9% of their workComputer Science: 8 works · 38.6% of their workComputer Vision and Pattern Recognition: 5 works · 24.6% of their workArtificial Intelligence: 3 works · 14.0% of their workEngineering: 1 works · 5.3% of their workBiomedical Engineering: 1 works · 5.3% of their workEverything else: 6 works · 26.3% of their workHealth Sciences: 5 works · 22.8% of their workMedicine: 5 works · 22.8% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 15.8% of their workPulmonary and Respiratory Medicine: 1 works · 7.0% of their workSocial Sciences: 1 works · 7.0% of their workSocial Sciences: 1 works · 7.0% of their workEducation: 1 works · 7.0% of their workTHEIR WORKJonnison LimaFerreira21works
Physical Sciences44%Health Sciences23%Social Sciences7%

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 Science838.6%
    2. Engineering15.3%
  2. Everything else626.3%
    1. Medicine522.8%
    1. Social Sciences17.0%
  1. 1Computer Vision and Pattern Recognition25% of their works
  2. 2Radiology, Nuclear Medicine and Imaging16% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Education7% of their works
  5. 5Pulmonary and Respiratory Medicine7% of their works
  6. 6Biomedical Engineering5% of their works

Research topics

Which keywords describe Jonnison Lima Ferreira's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Image Analysis, Texture Analysis, Image Recognition, Object Detection and Computer-Aided 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. 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 24 words, with their numbers
  1. Deep Learning245 topics
  2. Convolutional Neural Networks152 topics
  3. Machine Learning143 topics
  4. Medical Image Analysis143 topics
  5. Texture Analysis102 topics
  6. Image Recognition81 topic
  7. Object Detection81 topic
  8. Computer-Aided Detection71 topic
  9. Feature Extraction72 topics
  10. Histopathology Images71 topic
  11. Image Segmentation72 topics
  12. Medical Imaging72 topics
  13. Active Contours51 topic
  14. Graph Cuts51 topic
  15. Quantitative Analysis51 topic
  16. Radiomics51 topic
  17. Dosimetry31 topic
  18. Radiotherapy Physics31 topic
  19. Brain Tumor21 topic
  20. Hepatocellular Carcinoma21 topic
  21. Liver Cancer21 topic
  22. MRI21 topic
  23. Spine Segmentation21 topic
  24. Vertebrae Detection21 topic

Where does Jonnison Lima Ferreira work?

Jonnison Lima Ferreira's main affiliation in the publication record is Universidade Federal do Maranhão, Brazil.

How many publications and citations does Jonnison Lima Ferreira have?

OpenAlex counts 21 works and 675 citations for Jonnison Lima Ferreira, an h-index of 9, ranking #1,852,271 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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