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Researcher · The University of Melbourne · Australia

Sarah Erfani

Sarah Erfani publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Anomaly Detection Techniques and Applications, Adversarial Robustness in Machine Learning and Network Security and Intrusion Detection.

ORCID 0000-0003-0885-0643 OpenAlex
World rank
#1,069,431
of 7,710,434 ranked researchers
Rank in Australia
#34,608
of 140,210
Works
195
Citations
4k
Citations per work
20.6
h-index
27
i10-index 53Top 6.4% in Artificial Intelligence
Sarah Erfani

What does Sarah Erfani research?

Sarah Erfani's work is mostly in Computer Science (77%), Engineering (3%).

Physical Sciences: 156 works · 79.8% of their workComputer Science: 150 works · 77.0% of their workArtificial Intelligence: 87 works · 44.5% of their workComputer Vision and Pattern Recognition: 30 works · 15.2% of their workComputer Networks and Communications: 15 works · 7.8% of their workSignal Processing: 13 works · 6.7% of their workInformation Systems: 5 works · 2.8% of their workEngineering: 5 works · 2.8% of their workControl and Systems Engineering: 5 works · 2.8% of their workEverything else: 39 works · 20.2% of their workTHEIR WORKSarah Erfani195works
Physical Sciences80%

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 Science15077.0%
    2. Engineering52.8%
  2. Everything else3920.2%
  1. 1Artificial Intelligence44% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Signal Processing7% of their works
  5. 5Information Systems3% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Sarah Erfani's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Anomaly Detection, Machine Learning, Time Series, Adversarial Examples, Outlier Detection and Robustness.

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. Deep Learning1886 topics
  2. Neural Networks1424 topics
  3. Anomaly Detection842 topics
  4. Machine Learning842 topics
  5. Time Series752 topics
  6. Adversarial Examples601 topic
  7. Outlier Detection601 topic
  8. Robustness601 topic
  9. Unsupervised601 topic
  10. Intrusion Detection241 topic
  11. Network Security241 topic
  12. Convolutional Neural Networks181 topic
  13. Image Recognition181 topic
  14. Clustering151 topic
  15. Dynamic Time Warping151 topic
  16. Hyperparameter Optimization141 topic
  17. Noisy Labels141 topic
  18. Image Captioning111 topic
  19. Machine Translation111 topic
  20. Visual Question Answering111 topic
  21. Word Representation111 topic

Where does Sarah Erfani work?

Sarah Erfani's main affiliation in the publication record is The University of Melbourne, Australia.

How many publications and citations does Sarah Erfani have?

OpenAlex counts 195 works and 4,025 citations for Sarah Erfani, an h-index of 27, ranking #1,069,431 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.

Other researchers named Sarah Erfani

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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