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Researcher · Angeles University Foundation · Philippines

James A. Esquivel

James A. Esquivel publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Online Learning and Analytics, Recommender Systems and Techniques and Imbalanced Data Classification Techniques.

ORCID 0009-0004-8862-9299 OpenAlex
World rank
#1,985,257
of 7,710,434 ranked researchers
Rank in Philippines
#796
of 6,138
Works
21
Citations
168
Citations per work
8.0
h-index
6
i10-index 5Top 74% in Artificial Intelligence
James A. Esquivel

What does James A. Esquivel research?

James A. Esquivel's work is mostly in Computer Science (74%), Medicine (4%).

Physical Sciences: 15 works · 73.6% of their workComputer Science: 15 works · 73.6% of their workArtificial Intelligence: 6 works · 28.6% of their workInformation Systems: 4 works · 18.4% of their workComputer Vision and Pattern Recognition: 2 works · 10.2% of their workComputer Networks and Communications: 2 works · 8.2% of their workComputer Science Applications: 2 works · 8.2% of their workEverything else: 5 works · 22.3% of their workHealth Sciences: 1 works · 4.1% of their workMedicine: 1 works · 4.1% of their workNeurology: 1 works · 4.1% of their workTHEIR WORKJames A. Esquivel21works
Physical Sciences74%Health Sciences4%

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
    1. Computer Science1573.6%
  2. Everything else522.3%
    1. Medicine14.1%
  1. 1Artificial Intelligence29% of their works
  2. 2Information Systems18% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Computer Science Applications8% of their works
  6. 6Neurology4% of their works

Research topics

Which keywords describe James A. Esquivel's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Classification, Collaborative Filtering, Educational Data Mining, Learning Analytics, Matrix Factorization and Big Data.

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 19 words, with their numbers
  1. Deep Learning83 topics
  2. Machine Learning62 topics
  3. Classification52 topics
  4. Collaborative Filtering41 topic
  5. Educational Data Mining41 topic
  6. Learning Analytics41 topic
  7. Matrix Factorization41 topic
  8. Big Data31 topic
  9. Cloud Computing31 topic
  10. Imbalanced Data31 topic
  11. SMOTE31 topic
  12. Caching21 topic
  13. Feature Matching21 topic
  14. Hyperparameter Optimization21 topic
  15. Information-Centric Networking21 topic
  16. Local Descriptors21 topic
  17. Noisy Labels21 topic
  18. Opinion Mining21 topic
  19. Sentiment Analysis21 topic

Where does James A. Esquivel work?

James A. Esquivel's main affiliation in the publication record is Angeles University Foundation, Philippines.

How many publications and citations does James A. Esquivel have?

OpenAlex counts 21 works and 168 citations for James A. Esquivel, an h-index of 6, ranking #1,985,257 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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