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Researcher · Universidad de Los Andes · Colombia

Pablo Arbeláez

Pablo Arbeláez publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, on topics such as Medical Image Segmentation Techniques, Advanced Image and Video Retrieval Techniques and Advanced Neural Network Applications.

ORCID 0000-0001-5244-2407 OpenAlex
World rank
#89,756
of 7,710,434 ranked researchers
Rank in Colombia
#33
of 23,024
Works
196
Citations
23k
Citations per work
116.2
h-index
44
i10-index 83Top 1.7% in Computer Vision and Pattern Recognition
Pablo Arbeláez

What does Pablo Arbeláez research?

Pablo Arbeláez's work is mostly in Computer Science (46%), Medicine (8%), Engineering (6%).

Physical Sciences: 101 works · 51.4% of their workComputer Science: 89 works · 45.6% of their workComputer Vision and Pattern Recognition: 69 works · 35.3% of their workArtificial Intelligence: 20 works · 10.3% of their workEngineering: 11 works · 5.8% of their workBiomedical Engineering: 11 works · 5.8% of their workEverything else: 68 works · 34.8% of their workHealth Sciences: 16 works · 8.4% of their workMedicine: 16 works · 8.4% of their workRadiology, Nuclear Medicine and Imaging: 10 works · 5.1% of their workSurgery: 6 works · 3.3% of their workLife Sciences: 11 works · 5.4% of their workBiochemistry, Genetics and Molecular Biology: 11 works · 5.4% of their workMolecular Biology: 11 works · 5.4% of their workTHEIR WORKPablo Arbeláez196works
Life Sciences5%Physical Sciences51%Health Sciences8%

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 Science8945.6%
    2. Engineering115.8%
  2. Everything else6834.8%
    1. Medicine168.4%
    1. Biochemistry, Genetics and Molecular Biology115.4%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Biomedical Engineering6% of their works
  4. 4Molecular Biology5% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Surgery3% of their works

Research topics

Which keywords describe Pablo Arbeláez's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Medical Image Analysis, Convolutional Neural Networks, Feature Matching, Image Recognition, Local Descriptors and Content-Based Image Retrieval.

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 17 words, with their numbers
  1. Deep Learning1235 topics
  2. Image Segmentation321 topic
  3. Medical Image Analysis321 topic
  4. Convolutional Neural Networks311 topic
  5. Feature Matching311 topic
  6. Image Recognition311 topic
  7. Local Descriptors311 topic
  8. Content-Based Image Retrieval191 topic
  9. Shape Matching191 topic
  10. Action Recognition161 topic
  11. Pose Estimation161 topic
  12. 3D Mapping131 topic
  13. Image Captioning131 topic
  14. SLAM131 topic
  15. Surgical Skills131 topic
  16. Virtual Reality Training131 topic
  17. Visual Question Answering131 topic

Where does Pablo Arbeláez work?

Pablo Arbeláez's main affiliation in the publication record is Universidad de Los Andes, Colombia.

How many publications and citations does Pablo Arbeláez have?

OpenAlex counts 196 works and 22,777 citations for Pablo Arbeláez, an h-index of 44, ranking #89,756 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.

Discussion

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