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Researcher · Macquarie University · Australia

Helia Farhood

Helia Farhood publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, on topics such as Online Learning and Analytics, Anomaly Detection Techniques and Applications and Explainable Artificial Intelligence (XAI).

ORCID 0000-0001-8213-2338 OpenAlex
World rank
#1,569,308
of 7,710,434 ranked researchers
Rank in Australia
#48,081
of 140,210
Works
31
Citations
242
Citations per work
7.8
h-index
11
i10-index 11Top 37% in Artificial Intelligence
Helia Farhood

What does Helia Farhood research?

Helia Farhood's work is mostly in Computer Science (54%), Psychology (5%), Social Sciences (5%).

Physical Sciences: 17 works · 54.2% of their workComputer Science: 17 works · 54.2% of their workArtificial Intelligence: 7 works · 23.0% of their workComputer Vision and Pattern Recognition: 6 works · 20.3% of their workComputer Science Applications: 2 works · 6.8% of their workInformation Systems: 1 works · 4.1% of their workEverything else: 11 works · 35.0% of their workSocial Sciences: 3 works · 10.8% of their workPsychology: 2 works · 5.4% of their workDevelopmental and Educational Psychology: 2 works · 5.4% of their workSocial Sciences: 2 works · 5.4% of their workSociology and Political Science: 2 works · 5.4% of their workTHEIR WORKHelia Farhood31works
Physical Sciences54%Social Sciences11%

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 Science1754.2%
  2. Everything else1135.0%
    1. Psychology25.4%
    2. Social Sciences25.4%
  1. 1Artificial Intelligence23% of their works
  2. 2Computer Vision and Pattern Recognition20% of their works
  3. 3Computer Science Applications7% of their works
  4. 4Sociology and Political Science5% of their works
  5. 5Developmental and Educational Psychology5% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Helia Farhood's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Educational Data Mining, Learning Analytics, Neural Networks, Analytics, Anomaly Detection 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 Learning72 topics
  3. Educational Data Mining51 topic
  4. Learning Analytics51 topic
  5. Neural Networks52 topics
  6. Analytics31 topic
  7. Anomaly Detection31 topic
  8. Big Data31 topic
  9. Feature Matching31 topic
  10. Forest Carbon Stocks31 topic
  11. Interpretable Models31 topic
  12. Lidar Remote Sensing31 topic
  13. Local Descriptors31 topic
  14. Machine Learning Interpretability31 topic
  15. Unsupervised31 topic
  16. Machine Translation21 topic
  17. Plant Disease Detection21 topic
  18. Smart Farming21 topic
  19. Word Representation21 topic

Where does Helia Farhood work?

Helia Farhood's main affiliation in the publication record is Macquarie University, Australia.

How many publications and citations does Helia Farhood have?

OpenAlex counts 31 works and 242 citations for Helia Farhood, an h-index of 11, ranking #1,569,308 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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