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Researcher · Stanford University · United States

Trevor Hastie

Trevor Hastie publishes mostly in Statistics and Probability, Artificial Intelligence and Molecular Biology, on topics such as Statistical Methods and Inference, Advanced Statistical Methods and Models and Neural Networks and Applications.

ORCID 0000-0002-0164-3142 OpenAlex
World rank
#4,259
of 7,710,434 ranked researchers
Rank in United States
#1,464
of 1,627,098
Works
658
Citations
301k
Citations per work
458.0
h-index
141
i10-index 381Top 0.1% in Statistics and Probability
Trevor Hastie

What does Trevor Hastie research?

Trevor Hastie's work is mostly in Computer Science (24%), Mathematics (18%), Biochemistry, Genetics and Molecular Biology (12%).

Physical Sciences: 293 works · 44.6% of their workComputer Science: 156 works · 23.7% of their workArtificial Intelligence: 116 works · 17.6% of their workComputer Vision and Pattern Recognition: 40 works · 6.1% of their workMathematics: 122 works · 18.5% of their workStatistics and Probability: 122 works · 18.5% of their workEngineering: 16 works · 2.4% of their workComputational Mechanics: 16 works · 2.4% of their workEverything else: 284 works · 43.2% of their workLife Sciences: 80 works · 12.2% of their workBiochemistry, Genetics and Molecular Biology: 80 works · 12.2% of their workMolecular Biology: 51 works · 7.8% of their workGenetics: 29 works · 4.4% of their workTHEIR WORKTrevor Hastie658works
Life Sciences12%Physical Sciences45%

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 Science15623.7%
    2. Mathematics12218.5%
    3. Engineering162.4%
  2. Everything else28443.2%
    1. Biochemistry, Genetics and Molecular Biology8012.2%
  1. 1Statistics and Probability18% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Molecular Biology8% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Genetics4% of their works
  6. 6Computational Mechanics2% of their works

Research topics

Which keywords describe Trevor Hastie's research?

The keywords of their largest research topics: Regularization, Variable Selection, Feature Selection, Gene Expression, Sparse Representation, Multicollinearity, Regression Analysis and Neural Networks.

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. Regularization1101 topic
  2. Variable Selection1101 topic
  3. Feature Selection812 topics
  4. Gene Expression732 topics
  5. Sparse Representation712 topics
  6. Multicollinearity651 topic
  7. Regression Analysis651 topic
  8. Neural Networks631 topic
  9. Self-Organizing Maps631 topic
  10. Bayesian Modeling481 topic
  11. Multiple Imputation481 topic
  12. Data Analysis421 topic
  13. Microarray421 topic
  14. Dimensionality Reduction391 topic
  15. Face Recognition391 topic
  16. Compressed Sensing321 topic
  17. Signal Recovery321 topic
  18. Genetic Variation311 topic
  19. Genome-Wide Association311 topic

Where does Trevor Hastie work?

Trevor Hastie's main affiliation in the publication record is Stanford University, United States.

How many publications and citations does Trevor Hastie have?

OpenAlex counts 658 works and 301,345 citations for Trevor Hastie, an h-index of 141, ranking #4,259 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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