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Researcher · Afeka College of Engineering · Israel

Yehudit Aperstein

Yehudit Aperstein publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as Topic Modeling, Machine Learning in Healthcare and Machine Fault Diagnosis Techniques.

ORCID 0000-0001-6390-9463 OpenAlex
World rank
#3,400,093
of 7,710,434 ranked researchers
Rank in Israel
#21,536
of 38,292
Works
101
Citations
177
Citations per work
1.8
h-index
7
i10-index 3Top 65% in Artificial Intelligence
Yehudit Aperstein

What does Yehudit Aperstein research?

Yehudit Aperstein's work is mostly in Computer Science (42%), Medicine (5%), Engineering (4%).

Physical Sciences: 49 works · 48.5% of their workComputer Science: 42 works · 42.0% of their workArtificial Intelligence: 34 works · 34.1% of their workComputer Vision and Pattern Recognition: 6 works · 5.6% of their workComputational Theory and Mathematics: 2 works · 2.3% of their workEngineering: 4 works · 4.2% of their workControl and Systems Engineering: 4 works · 4.2% of their workMaterials Science: 2 works · 2.3% of their workMaterials Chemistry: 2 works · 2.3% of their workEverything else: 47 works · 46.8% of their workHealth Sciences: 5 works · 4.7% of their workMedicine: 5 works · 4.7% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 4.7% of their workTHEIR WORKYehudit Aperstein101works
Physical Sciences48%Health Sciences5%

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 Science4242.0%
    2. Engineering44.2%
    3. Materials Science22.3%
  2. Everything else4746.8%
    1. Medicine54.7%
  1. 1Artificial Intelligence34% of their works
  2. 2Computer Vision and Pattern Recognition6% of their works
  3. 3Radiology, Nuclear Medicine and Imaging5% of their works
  4. 4Control and Systems Engineering4% of their works
  5. 5Computational Theory and Mathematics2% of their works
  6. 6Materials Chemistry2% of their works

Research topics

Which keywords describe Yehudit Aperstein's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Translation, Word Representation, Electronic Health Records, Healthcare, Machine Learning and Empirical Mode Decomposition.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Neural Networks314 topics
  2. Deep Learning295 topics
  3. Machine Translation161 topic
  4. Word Representation161 topic
  5. Electronic Health Records101 topic
  6. Healthcare101 topic
  7. Machine Learning102 topics
  8. Empirical Mode Decomposition61 topic
  9. Fault Diagnosis61 topic
  10. Affective States51 topic
  11. Anomaly Detection51 topic
  12. Intelligent Tutoring Systems51 topic
  13. Unsupervised51 topic
  14. Interpretable Models41 topic
  15. Machine Learning Interpretability41 topic
  16. Opinion Mining41 topic
  17. Reinforcement Learning41 topic
  18. Robotics41 topic
  19. Sentiment Analysis41 topic

Where does Yehudit Aperstein work?

Yehudit Aperstein's main affiliation in the publication record is Afeka College of Engineering, Israel.

How many publications and citations does Yehudit Aperstein have?

OpenAlex counts 101 works and 177 citations for Yehudit Aperstein, an h-index of 7, ranking #3,400,093 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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