R. Alejo
R. Alejo publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Imbalanced Data Classification Techniques, Anomaly Detection Techniques and Applications and Machine Learning and Data Classification.
- World rank
- #3,034,505 of 7,710,434 ranked researchers
- Rank in Mexico
- #9,363 of 55,557
- Works
- 81
- Citations
- 892
- Citations per work
- 11.0
What does R. Alejo research?
R. Alejo's work is mostly in Computer Science (54%), Engineering (8%), Materials Science (4%).
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 Sciences5365.8%
- Computer Science4454.0%
- Engineering68.0%
- Materials Science33.8%
- Everything else2834.2%
- 1Artificial Intelligence44% of their works
- 2Computer Vision and Pattern Recognition5% of their works
- 3Information Systems5% of their works
- 4Electrical and Electronic Engineering5% of their works
- 5Materials Chemistry4% of their works
- 6Biomedical Engineering3% of their works
Research topics
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Neural Networks and Applications
- Electricity Theft Detection Techniques
- Data Mining Algorithms and Applications
- Financial Distress and Bankruptcy Prediction
- Advanced Clustering Algorithms Research
Which keywords describe R. Alejo's research?
The keywords of their largest research topics: Classification, Deep Learning, Neural Networks, Imbalanced Data, SMOTE, Anomaly Detection, High-Dimensional Data and Machine Learning.
- K-means
- Frequent Patterns
- Credit Scoring
- Smart Grids
- Self-Organizing Maps
- Noisy Labels
- Unsupervised
- Machine Learning
- Anomaly Detection
- Imbalanced Data
- Deep Learning
- Classification
- Neural Networks
- SMOTE
- High-Dimensional Data
- Outlier Detection
- Hyperparameter Optimization
- Backpropagation Learning
- Electricity Theft
- Bankruptcy Prediction
- Data Mining
- Clustering Algorithms
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 22 words, with their numbers
- Classification432 topics
- Deep Learning363 topics
- Neural Networks323 topics
- Imbalanced Data311 topic
- SMOTE311 topic
- Anomaly Detection262 topics
- High-Dimensional Data212 topics
- Machine Learning193 topics
- Outlier Detection171 topic
- Unsupervised171 topic
- Hyperparameter Optimization121 topic
- Noisy Labels121 topic
- Backpropagation Learning101 topic
- Self-Organizing Maps101 topic
- Electricity Theft91 topic
- Smart Grids91 topic
- Bankruptcy Prediction51 topic
- Credit Scoring51 topic
- Data Mining51 topic
- Frequent Patterns51 topic
- Clustering Algorithms41 topic
- K-means41 topic
Where does R. Alejo work?
R. Alejo's main affiliation in the publication record is Instituto Tecnológico de Toluca, Mexico.
How many publications and citations does R. Alejo have?
OpenAlex counts 81 works and 892 citations for R. Alejo, an h-index of 15, ranking #3,034,505 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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