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Researcher · Hebrew University of Jerusalem · Israel

Shai Shalev‐Shwartz

Shai Shalev‐Shwartz publishes mostly in Artificial Intelligence, Computational Mechanics and Management Science and Operations Research, on topics such as Machine Learning and Algorithms, Sparse and Compressive Sensing Techniques and Stochastic Gradient Optimization Techniques.

OpenAlex
World rank
#68,226
of 7,710,434 ranked researchers
Rank in Israel
#603
of 38,292
Works
210
Citations
23k
Citations per work
109.8
h-index
49
i10-index 111Top 1.1% in Artificial Intelligence
Shai Shalev‐Shwartz

What does Shai Shalev‐Shwartz research?

Shai Shalev‐Shwartz's work is mostly in Computer Science (66%), Engineering (8%), Decision Sciences (6%).

Physical Sciences: 164 works · 78.0% of their workComputer Science: 139 works · 66.3% of their workArtificial Intelligence: 118 works · 56.2% of their workComputer Vision and Pattern Recognition: 13 works · 6.2% of their workComputational Theory and Mathematics: 8 works · 3.9% of their workEngineering: 16 works · 7.8% of their workComputational Mechanics: 16 works · 7.8% of their workMathematics: 8 works · 3.9% of their workStatistics and Probability: 8 works · 3.9% of their workEverything else: 33 works · 15.6% of their workSocial Sciences: 13 works · 6.4% of their workDecision Sciences: 13 works · 6.4% of their workManagement Science and Operations Research: 13 works · 6.4% of their workTHEIR WORKShaiShalev‐Shwartz210works
Physical Sciences78%Social Sciences6%

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 Science13966.3%
    2. Engineering167.8%
    3. Mathematics83.9%
  2. Everything else3315.6%
    1. Decision Sciences136.4%
  1. 1Artificial Intelligence56% of their works
  2. 2Computational Mechanics8% of their works
  3. 3Management Science and Operations Research6% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Computational Theory and Mathematics4% of their works
  6. 6Statistics and Probability4% of their works

Research topics

Which keywords describe Shai Shalev‐Shwartz's research?

The keywords of their largest research topics: Deep Learning, Semi-Supervised Learning, Convex Optimization, Active Learning, Machine Learning, Neural Networks, Hyperparameter Optimization and Sparse Representation.

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 23 words, with their numbers
  1. Deep Learning1743 topics
  2. Semi-Supervised Learning1232 topics
  3. Convex Optimization1163 topics
  4. Active Learning1011 topic
  5. Machine Learning1011 topic
  6. Neural Networks732 topics
  7. Hyperparameter Optimization672 topics
  8. Sparse Representation622 topics
  9. Meta-Learning552 topics
  10. Compressed Sensing431 topic
  11. Signal Recovery431 topic
  12. Random Projections391 topic
  13. Stochastic Gradient Descent391 topic
  14. Backpropagation Learning341 topic
  15. Bandit Optimization341 topic
  16. Bayesian Optimization341 topic
  17. Self-Organizing Maps341 topic
  18. Instance Selection331 topic
  19. Noisy Labels331 topic
  20. Domain Adaptation221 topic
  21. Transfer Learning221 topic
  22. Dimensionality Reduction191 topic
  23. Face Recognition191 topic

Where does Shai Shalev‐Shwartz work?

Shai Shalev‐Shwartz's main affiliation in the publication record is Hebrew University of Jerusalem, Israel.

How many publications and citations does Shai Shalev‐Shwartz have?

OpenAlex counts 210 works and 23,064 citations for Shai Shalev‐Shwartz, an h-index of 49, ranking #68,226 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.

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