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Researcher · Botho University · Botswana

Subitha Sivakumar

Subitha Sivakumar publishes mostly in Artificial Intelligence, Information Systems and Computer Science Applications, on topics such as Imbalanced Data Classification Techniques, Online Learning and Analytics and Artificial Intelligence in Healthcare.

OpenAlex
World rank
#4,031,232
of 7,710,434 ranked researchers
Rank in Botswana
#498
of 859
Works
20
Citations
137
Citations per work
6.9
h-index
6
i10-index 6Top 74% in Artificial Intelligence
Subitha Sivakumar

What does Subitha Sivakumar research?

Subitha Sivakumar's work is mostly in Computer Science (46%), Psychology (12%).

Physical Sciences: 9 works · 46.3% of their workComputer Science: 9 works · 46.3% of their workArtificial Intelligence: 4 works · 21.4% of their workComputer Science Applications: 2 works · 8.9% of their workInformation Systems: 2 works · 8.9% of their workComputer Vision and Pattern Recognition: 1 works · 7.1% of their workEverything else: 8 works · 41.2% of their workSocial Sciences: 2 works · 12.5% of their workPsychology: 2 works · 12.5% of their workSocial Psychology: 1 works · 7.1% of their workDevelopmental and Educational Psychology: 1 works · 5.4% of their workTHEIR WORKSubitha Sivakumar20works
Physical Sciences46%Social Sciences12%

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 Science946.3%
  2. Everything else841.2%
    1. Psychology212.5%
  1. 1Artificial Intelligence21% of their works
  2. 2Information Systems9% of their works
  3. 3Computer Science Applications9% of their works
  4. 4Social Psychology7% of their works
  5. 5Computer Vision and Pattern Recognition7% of their works
  6. 6Developmental and Educational Psychology5% of their works

Research topics

Which keywords describe Subitha Sivakumar's research?

The keywords of their largest research topics: Machine Learning, Classification, Deep Learning, Ensemble Methods, Data Mining, Feature Selection, Anomaly Detection and Educational Data Mining.

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 24 words, with their numbers
  1. Machine Learning93 topics
  2. Classification62 topics
  3. Deep Learning63 topics
  4. Ensemble Methods62 topics
  5. Data Mining52 topics
  6. Feature Selection52 topics
  7. Anomaly Detection42 topics
  8. Educational Data Mining41 topic
  9. Imbalanced Data41 topic
  10. Learning Analytics41 topic
  11. Neural Networks42 topics
  12. SMOTE41 topic
  13. Big Data Analytics31 topic
  14. Healthcare31 topic
  15. Backpropagation Learning21 topic
  16. Dimensionality Reduction21 topic
  17. Face Recognition21 topic
  18. Hyperparameter Optimization21 topic
  19. Intrusion Detection21 topic
  20. Network Security21 topic
  21. Noisy Labels21 topic
  22. Outlier Detection21 topic
  23. Self-Organizing Maps21 topic
  24. Unsupervised21 topic

Where does Subitha Sivakumar work?

Subitha Sivakumar's main affiliation in the publication record is Botho University, Botswana.

How many publications and citations does Subitha Sivakumar have?

OpenAlex counts 20 works and 137 citations for Subitha Sivakumar, an h-index of 6, ranking #4,031,232 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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