Eréndira Rendón
Eréndira Rendón publishes mostly in Artificial Intelligence, Biomedical Engineering and Information Systems, on topics such as Advanced Clustering Algorithms Research, Data Management and Algorithms and Imbalanced Data Classification Techniques.
- World rank
- #3,589,030 of 7,710,434 ranked researchers
- Rank in Mexico
- #12,167 of 55,557
- Works
- 34
- Citations
- 411
- Citations per work
- 12.1
What does Eréndira Rendón research?
Eréndira Rendón's work is mostly in Computer Science (58%), Engineering (9%), Materials Science (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 Sciences2470.9%
- Computer Science2058.5%
- Engineering39.0%
- Materials Science13.4%
- Everything else1029.1%
- 1Artificial Intelligence38% of their works
- 2Biomedical Engineering9% of their works
- 3Information Systems8% of their works
- 4Signal Processing8% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Materials Chemistry3% of their works
Research topics
- Advanced Clustering Algorithms Research
- Data Management and Algorithms
- Imbalanced Data Classification Techniques
- Data Mining Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Hate Speech and Cyberbullying Detection
- Machine Learning and Data Classification
- Gene expression and cancer classification
Which keywords describe Eréndira Rendón's research?
The keywords of their largest research topics: Clustering Algorithms, High-Dimensional Data, Machine Learning, Classification, Cluster Validation, K-means, GPS Trajectories and Trajectory Data Mining.
- Gene Expression
- Noisy Labels
- Hate Speech
- Anomaly Detection
- Data Mining
- Imbalanced Data
- Trajectory Data Mining
- K-means
- Classification
- High-Dimensional Data
- Clustering Algorithms
- Machine Learning
- Cluster Validation
- GPS Trajectories
- Deep Learning
- SMOTE
- Frequent Patterns
- Detection
- Hyperparameter Optimization
- Unsupervised
- Microarray
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 21 words, with their numbers
- Clustering Algorithms152 topics
- High-Dimensional Data112 topics
- Machine Learning93 topics
- Classification82 topics
- Cluster Validation81 topic
- K-means81 topic
- GPS Trajectories71 topic
- Trajectory Data Mining71 topic
- Deep Learning62 topics
- Imbalanced Data51 topic
- SMOTE51 topic
- Data Mining41 topic
- Frequent Patterns41 topic
- Anomaly Detection31 topic
- Detection31 topic
- Hate Speech31 topic
- Hyperparameter Optimization31 topic
- Noisy Labels31 topic
- Unsupervised31 topic
- Gene Expression21 topic
- Microarray21 topic
Where does Eréndira Rendón work?
Eréndira Rendón's main affiliation in the publication record is Instituto Tecnológico de Toluca, Mexico.
How many publications and citations does Eréndira Rendón have?
OpenAlex counts 34 works and 411 citations for Eréndira Rendón, an h-index of 8, ranking #3,589,030 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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