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Researcher · University of Oklahoma · United States

Talayeh Razzaghi

Talayeh Razzaghi publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Oncology, on topics such as Imbalanced Data Classification Techniques, Advanced Statistical Process Monitoring and Face and Expression Recognition.

ORCID 0000-0001-8052-9876 OpenAlex
World rank
#1,387,587
of 7,710,434 ranked researchers
Rank in United States
#438,626
of 1,627,098
Works
46
Citations
759
Citations per work
16.5
h-index
13
i10-index 14Top 28% in Artificial Intelligence
Talayeh Razzaghi

What does Talayeh Razzaghi research?

Talayeh Razzaghi's work is mostly in Computer Science (27%), Engineering (5%), Health Professions (4%).

Everything else: 26 works · 55.5% of their workPhysical Sciences: 15 works · 32.8% of their workComputer Science: 13 works · 27.3% of their workArtificial Intelligence: 11 works · 23.4% of their workComputer Vision and Pattern Recognition: 2 works · 3.9% of their workEngineering: 3 works · 5.5% of their workElectrical and Electronic Engineering: 3 works · 5.5% of their workHealth Sciences: 4 works · 7.8% of their workHealth Professions: 2 works · 3.9% of their workHealth Information Management: 2 works · 3.9% of their workMedicine: 2 works · 3.9% of their workOncology: 2 works · 3.9% of their workSocial Sciences: 2 works · 3.9% of their workDecision Sciences: 2 works · 3.9% of their workStatistics, Probability and Uncertainty: 2 works · 3.9% of their workTHEIR WORKTalayeh Razzaghi46works
Physical Sciences33%Health Sciences8%Social 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. Everything else2655.5%
    1. Computer Science1327.3%
    2. Engineering35.5%
    1. Health Professions23.9%
    2. Medicine23.9%
    1. Decision Sciences23.9%
  1. 1Artificial Intelligence23% of their works
  2. 2Electrical and Electronic Engineering6% of their works
  3. 3Oncology4% of their works
  4. 4Computer Vision and Pattern Recognition4% of their works
  5. 5Health Information Management4% of their works
  6. 6Statistics, Probability and Uncertainty4% of their works

Research topics

Which keywords describe Talayeh Razzaghi's research?

The keywords of their largest research topics: Ensemble Methods, Classification, Imbalanced Data, SMOTE, Data Mining, Feature Selection, Machine Learning and Healthcare Improvement.

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 21 words, with their numbers
  1. Ensemble Methods172 topics
  2. Classification162 topics
  3. Imbalanced Data131 topic
  4. SMOTE131 topic
  5. Data Mining82 topics
  6. Feature Selection82 topics
  7. Machine Learning82 topics
  8. Healthcare Improvement51 topic
  9. Statistical Process Control51 topic
  10. Association Rules41 topic
  11. Big Data Analytics41 topic
  12. Dimensionality Reduction41 topic
  13. Fabric Defect Detection41 topic
  14. Face Recognition41 topic
  15. Frequent Patterns41 topic
  16. Healthcare41 topic
  17. Machine Vision41 topic
  18. Energy Efficiency31 topic
  19. Extreme Learning Machine31 topic
  20. Feedforward Networks31 topic
  21. Rebound Effect31 topic

Where does Talayeh Razzaghi work?

Talayeh Razzaghi's main affiliation in the publication record is University of Oklahoma, United States.

How many publications and citations does Talayeh Razzaghi have?

OpenAlex counts 46 works and 759 citations for Talayeh Razzaghi, an h-index of 13, ranking #1,387,587 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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