Alfonso Rojas‐Domínguez
Alfonso Rojas‐Domínguez publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as AI in cancer detection, Metaheuristic Optimization Algorithms Research and Evolutionary Algorithms and Applications.
- World rank
- #2,310,459 of 7,710,434 ranked researchers
- Rank in Mexico
- #6,294 of 55,557
- Works
- 69
- Citations
- 953
- Citations per work
- 13.8
What does Alfonso Rojas‐Domínguez research?
Alfonso Rojas‐Domínguez's work is mostly in Computer Science (58%), Engineering (11%), Medicine (3%).
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 Sciences4768.7%
- Computer Science4057.8%
- Engineering810.9%
- Everything else1928.2%
- Health Sciences23.1%
- Medicine23.1%
- 1Artificial Intelligence34% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Electrical and Electronic Engineering8% of their works
- 4Computer Networks and Communications3% of their works
- 5Radiology, Nuclear Medicine and Imaging3% of their works
- 6Industrial and Manufacturing Engineering3% of their works
Research topics
Which keywords describe Alfonso Rojas‐Domínguez's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Evolutionary Algorithms, Classification, Differential Evolution, Histopathology Images, Medical Image Analysis and Neural Networks.
- Extreme Learning Machine
- Hyperparameter Optimization
- Local Descriptors
- Backpropagation Learning
- Content-Based Image Retrieval
- Feature Selection
- Neural Networks
- Histopathology Images
- Classification
- Deep Learning
- Machine Learning
- Evolutionary Algorithms
- Differential Evolution
- Medical Image Analysis
- Particle Swarm Optimization
- Genetic Programming
- Shape Matching
- Feature Matching
- Self-Organizing Maps
- Noisy Labels
- Feedforward 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 21 words, with their numbers
- Machine Learning303 topics
- Deep Learning253 topics
- Evolutionary Algorithms212 topics
- Classification193 topics
- Differential Evolution111 topic
- Histopathology Images111 topic
- Medical Image Analysis111 topic
- Neural Networks112 topics
- Particle Swarm Optimization111 topic
- Feature Selection101 topic
- Genetic Programming101 topic
- Content-Based Image Retrieval91 topic
- Shape Matching91 topic
- Backpropagation Learning71 topic
- Feature Matching71 topic
- Local Descriptors71 topic
- Self-Organizing Maps71 topic
- Hyperparameter Optimization51 topic
- Noisy Labels51 topic
- Extreme Learning Machine41 topic
- Feedforward Networks41 topic
Where does Alfonso Rojas‐Domínguez work?
Alfonso Rojas‐Domínguez's main affiliation in the publication record is Instituto Tecnológico de León, Mexico.
How many publications and citations does Alfonso Rojas‐Domínguez have?
OpenAlex counts 69 works and 953 citations for Alfonso Rojas‐Domínguez, an h-index of 14, ranking #2,310,459 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.
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