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Researcher · Deakin University · Australia

Moloud Abdar

Moloud Abdar publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management, on topics such as Imbalanced Data Classification Techniques, Data Mining Algorithms and Applications and Artificial Intelligence in Healthcare.

World rank
#98,894
of 1,633,909 ranked researchers
Rank in Australia
#2,728
of 35,497
Works
26
Citations
244
Citations per work
9.4

What does Moloud Abdar research?

Artificial Intelligence: 31.6%Computer Vision and Pattern Recognition: 26.3%Health Information Management: 10.5%Information Systems: 10.5%other fields: 21.1%32%top field
Artificial Intelligence31.6%Computer Vision and Pattern Recognition26.3%Health Information Management10.5%Information Systems10.5%other fields21.1%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence32% of their works
  2. 2Computer Vision and Pattern Recognition26% of their works
  3. 3Health Information Management10% of their works
  4. 4Information Systems10% of their works
  5. 5Psychiatry and Mental health5% of their works
  6. 6Marketing5% of their works

Research topics

Which keywords describe Moloud Abdar's research?

The keywords of their largest research topics: Data Mining, Machine Learning, Classification, Association Rules, Big Data Analytics, Frequent Patterns, Healthcare and Imbalanced 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 20 words, with their numbers
  1. Data Mining42 topics
  2. Machine Learning42 topics
  3. Classification32 topics
  4. Association Rules21 topic
  5. Big Data Analytics21 topic
  6. Frequent Patterns21 topic
  7. Healthcare21 topic
  8. Imbalanced Data21 topic
  9. Meta-Learning22 topics
  10. SMOTE21 topic
  11. Convolutional Neural Networks11 topic
  12. Deep Learning11 topic
  13. Differential Evolution11 topic
  14. Domain Adaptation11 topic
  15. Hyperparameter Optimization11 topic
  16. Neural Networks11 topic
  17. Noisy Labels11 topic
  18. Particle Swarm Optimization11 topic
  19. Transfer Learning11 topic
  20. Word Representation11 topic

Where does Moloud Abdar work?

Moloud Abdar's main affiliation in the publication record is Deakin University, Australia.

How many publications and citations does Moloud Abdar have?

Science Explorer counts 26 works and 244 citations for Moloud Abdar, ranking #98,894 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.