Ivan Reyes-Amezcua
Ivan Reyes-Amezcua publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, on topics such as Kidney Stones and Urolithiasis Treatments, Domain Adaptation and Few-Shot Learning and Advanced X-ray and CT Imaging.
- World rank
- #5,908,845 of 7,710,434 ranked researchers
- Rank in Mexico
- #31,270 of 55,557
- Works
- 26
- Citations
- 50
- Citations per work
- 1.9
What does Ivan Reyes-Amezcua research?
Ivan Reyes-Amezcua's work is mostly in Computer Science (48%), Medicine (29%), Engineering (9%).
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
- Physical Sciences1557.6%
- Computer Science1348.5%
- Engineering29.1%
- Health Sciences728.8%
- Medicine728.8%
- Everything else413.6%
- 1Artificial Intelligence29% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Pulmonary and Respiratory Medicine17% of their works
- 4Biomedical Engineering9% of their works
- 5Pediatrics, Perinatology and Child Health8% of their works
- 6Oncology4% of their works
Research topics
- Kidney Stones and Urolithiasis Treatments
- Domain Adaptation and Few-Shot Learning
- Advanced X-ray and CT Imaging
- Pediatric Urology and Nephrology Studies
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Which keywords describe Ivan Reyes-Amezcua's research?
The keywords of their largest research topics: Deep Learning, Meta-Learning, Prevalence, Urolithiasis, Domain Adaptation, Transfer Learning, Dual-Energy CT and Material Differentiation.
- Robustness
- Local Descriptors
- Hyperparameter Optimization
- Convolutional Neural Networks
- Urinary Tract Infection
- Material Differentiation
- Transfer Learning
- Urolithiasis
- Meta-Learning
- Deep Learning
- Prevalence
- Domain Adaptation
- Dual-Energy CT
- Pediatric
- Adversarial Examples
- Feature Matching
- Image Recognition
- Noisy Labels
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 18 words, with their numbers
- Deep Learning93 topics
- Meta-Learning92 topics
- Prevalence81 topic
- Urolithiasis81 topic
- Domain Adaptation61 topic
- Transfer Learning61 topic
- Dual-Energy CT51 topic
- Material Differentiation51 topic
- Pediatric51 topic
- Urinary Tract Infection51 topic
- Adversarial Examples31 topic
- Convolutional Neural Networks31 topic
- Feature Matching31 topic
- Hyperparameter Optimization31 topic
- Image Recognition31 topic
- Local Descriptors31 topic
- Noisy Labels31 topic
- Robustness31 topic
Where does Ivan Reyes-Amezcua work?
Ivan Reyes-Amezcua's main affiliation in the publication record is Tecnológico de Monterrey, Mexico.
How many publications and citations does Ivan Reyes-Amezcua have?
OpenAlex counts 26 works and 50 citations for Ivan Reyes-Amezcua, an h-index of 5, ranking #5,908,845 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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