Eduardo R. Corral-Soto
Eduardo R. Corral-Soto publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.
- World rank
- #5,053,413 of 7,710,434 ranked researchers
- Rank in Canada
- #148,504 of 183,316
- Works
- 20
- Citations
- 111
- Citations per work
- 5.6
What does Eduardo R. Corral-Soto research?
Eduardo R. Corral-Soto's work is mostly in Computer Science (54%), Engineering (21%), Environmental Science (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 Sciences1782.7%
- Computer Science1153.5%
- Engineering420.6%
- Environmental Science28.6%
- Everything else212.1%
- Health Sciences15.2%
- Medicine15.2%
- 1Computer Vision and Pattern Recognition41% of their works
- 2Artificial Intelligence12% of their works
- 3Aerospace Engineering10% of their works
- 4Automotive Engineering10% of their works
- 5Environmental Engineering9% of their works
- 6Radiology, Nuclear Medicine and Imaging5% of their works
Research topics
Which keywords describe Eduardo R. Corral-Soto's research?
The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Convolutional Neural Networks, Transfer Learning, Image Captioning, Visual Question Answering, Domain Adaptation and Few-Shot Learning.
- Trajectory Prediction
- COVID-19
- Stereo Vision
- Lidar Remote Sensing
- SLAM
- Object Detection
- Few-Shot Learning
- Visual Question Answering
- Transfer Learning
- Unsupervised Learning
- Deep Learning
- Convolutional Neural Networks
- Image Captioning
- Domain Adaptation
- Image Recognition
- 3D Mapping
- Forest Carbon Stocks
- Depth Estimation
- Autonomous Vehicles
- Medical Imaging
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 20 words, with their numbers
- Deep Learning214 topics
- Unsupervised Learning112 topics
- Convolutional Neural Networks102 topics
- Transfer Learning102 topics
- Image Captioning81 topic
- Visual Question Answering81 topic
- Domain Adaptation71 topic
- Few-Shot Learning71 topic
- Image Recognition71 topic
- Object Detection71 topic
- 3D Mapping61 topic
- SLAM61 topic
- Forest Carbon Stocks51 topic
- Lidar Remote Sensing51 topic
- Depth Estimation41 topic
- Stereo Vision41 topic
- Autonomous Vehicles31 topic
- COVID-1931 topic
- Medical Imaging31 topic
- Trajectory Prediction31 topic
Where does Eduardo R. Corral-Soto work?
Eduardo R. Corral-Soto's main affiliation in the publication record is Huawei Technologies (Canada), Canada.
How many publications and citations does Eduardo R. Corral-Soto have?
OpenAlex counts 20 works and 111 citations for Eduardo R. Corral-Soto, an h-index of 7, ranking #5,053,413 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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