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Researcher · University of California, Berkeley · United States

Saurav Kadavath

Saurav Kadavath publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Adversarial Robustness in Machine Learning.

OpenAlex
World rank
#2,480,757
of 7,710,434 ranked researchers
Rank in United States
#732,360
of 1,627,098
Works
19
Citations
3.4k
Citations per work
178.7
h-index
13
i10-index 13Top 28% in Artificial Intelligence
Saurav Kadavath

What does Saurav Kadavath research?

Saurav Kadavath's work is mostly in Computer Science (82%), Biochemistry, Genetics and Molecular Biology (8%), Decision Sciences (2%).

Physical Sciences: 16 works · 82.0% of their workComputer Science: 16 works · 82.0% of their workArtificial Intelligence: 11 works · 58.0% of their workComputer Vision and Pattern Recognition: 3 works · 18.0% of their workInformation Systems: 1 works · 6.0% of their workEverything else: 2 works · 8.0% of their workLife Sciences: 2 works · 8.0% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 8.0% of their workBiophysics: 1 works · 4.0% of their workMolecular Biology: 1 works · 4.0% of their workSocial Sciences: 0 works · 2.0% of their workDecision Sciences: 0 works · 2.0% of their workManagement Science and Operations Research: 0 works · 2.0% of their workTHEIR WORKSaurav Kadavath19works
Life Sciences8%Physical Sciences82%Social Sciences2%

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 Science1682.0%
  2. Everything else28.0%
    1. Biochemistry, Genetics and Molecular Biology28.0%
    1. Decision Sciences02.0%
  1. 1Artificial Intelligence58% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Information Systems6% of their works
  4. 4Molecular Biology4% of their works
  5. 5Biophysics4% of their works
  6. 6Management Science and Operations Research2% of their works

Research topics

Which keywords describe Saurav Kadavath's research?

The keywords of their largest research topics: Neural Networks, Machine Learning, Deep Learning, Machine Translation, Word Representation, Deep Neural Networks, Neural Machine Translation and Statistical Machine Translation.

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 20 words, with their numbers
  1. Neural Networks123 topics
  2. Machine Learning83 topics
  3. Deep Learning73 topics
  4. Machine Translation71 topic
  5. Word Representation71 topic
  6. Deep Neural Networks62 topics
  7. Neural Machine Translation51 topic
  8. Statistical Machine Translation51 topic
  9. Adversarial Examples31 topic
  10. Code Clone Detection31 topic
  11. Hyperparameter Optimization31 topic
  12. Interpretable Models31 topic
  13. Machine Learning Interpretability31 topic
  14. Noisy Labels31 topic
  15. Refactoring31 topic
  16. Robustness31 topic
  17. Anomaly Detection21 topic
  18. Bioimage Analysis21 topic
  19. High-Content Screening21 topic
  20. Unsupervised21 topic

Where does Saurav Kadavath work?

Saurav Kadavath's main affiliation in the publication record is University of California, Berkeley, United States.

How many publications and citations does Saurav Kadavath have?

OpenAlex counts 19 works and 3,396 citations for Saurav Kadavath, an h-index of 13, ranking #2,480,757 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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