2026 Trevor Hastie: Mathematics Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	123	8	7	6	5	348	340053
Engineering and Technology	136	21	21	14	14	360	351221

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

123

348

340053

Engineering and Technology

136

360

351221

Mathematics

D-Index

123

Citations

340053

World Ranking

National Ranking

Engineering and Technology

D-Index

136

Citations

351221

World Ranking

National Ranking

Research.com Recognitions

2026 - Research.com Engineering and Technology in United States Leader Award
2026 - Research.com Mathematics in United States Leader Award
2025 - Research.com Engineering and Technology in United States Leader Award
2025 - Research.com Mathematics in United States Leader Award
2019 - Royal Netherlands Academy of Arts and Sciences
2019 - Wald Memorial Lecturer
2018 - Member of the National Academy of Sciences
1998 - Fellow of the American Statistical Association (ASA)

Overview

Trevor Hastie is affiliated with Stanford University in the United States. Their research spans various areas within biochemistry, genetics, and molecular biology, with a particular focus on statistics and probability, molecular biology, genetics, artificial intelligence, and radiology, nuclear medicine, and imaging.

Their work covers several main topics including statistical methods and inference, genetic associations and epidemiology, statistical methods and Bayesian inference, advanced statistical methods and models, gene expression and cancer classification, bioinformatics and genomic networks, and liver disease diagnosis and treatment.

Trevor Hastie has published frequently with several co-authors, including Robert Tibshirani, Gareth James, Daniela Witten, Bradley Efron, and Manuel A. Rivas.

Typical venues for their publications include arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), UNC Libraries, Biostatistics, and Nature Reviews Methods Primers.

Some recent papers authored by or involving Trevor Hastie are:

"Surprises in high-dimensional ridgeless least squares interpolation", 2022, The Annals of Statistics
"Principal component analysis", 2022, Nature Reviews Methods Primers
"Genetics of 35 blood and urine biomarkers in the UK Biobank", 2021, Nature Genetics
"An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging", 2021, Nature Aging
"Elastic Net Regularization Paths for All Generalized Linear Models", 2023, Journal of Statistical Software

The scientist has authored books published by Springer International Publishing and Cambridge University Press. Notable titles include "An Introduction to Statistical Learning" (2021 and a 2023 edition) and "Computer Age Statistical Inference, Student Edition" (2021).

Trevor Hastie has received several awards such as election to the Royal Netherlands Academy of Arts and Sciences in 2019, delivering the Wald Memorial Lectures in 2019, membership in the National Academy of Sciences since 2018, and being a Fellow of the American Statistical Association since 1998.

Best Publications

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie;Robert J. Tibshirani;Jerome Friedman

58994
Citations
Regularization and variable selection via the elastic net

Hui Zou;Trevor Hastie

22348
Citations
Regularization Paths for Generalized Linear Models via Coordinate Descent

Jerome Friedman;Trevor Hastie;Robert Tibshirani

20473
Citations
The Elements of Statistical Learning

Trevor Hastie;Robert Tibshirani;Jerome H. Friedman

19162
Citations
An introduction to statistical learning

Gareth James;Daniela Witten;Trevor Hastie;Robert Tibshirani

18462
Citations
Generalized Additive Models.

R. A. Brown;T. J. Hastie;R. J. Tibshirani

13317
Citations
Least angle regression

Bradley Efron;Trevor Hastie;Iain Johnstone;Robert Tibshirani

12266
Citations
The elements of statistical learning. 2001

Trevor Hastie;Robert Tibshirani;Jerome Friedman

10781
Citations
Generalized Additive Models

Trevor J. Hastie;Robert Tibshirani

10570
Citations
Additive Logistic Regression : A Statistical View of Boosting

Jerome Friedman;Trevor Hastie;Robert Tibshirani

10368
Citations
A statistical explanation of MaxEnt for ecologists

Jane Elith;Steven J. Phillips;Trevor Hastie;Miroslav Dudík

7663
Citations
Sparse inverse covariance estimation with the graphical lasso

Jerome Friedman;Trevor Hastie;Robert Tibshirani

7341
Citations
A working guide to boosted regression trees

J. Elith;J. R. Leathwick;T. Hastie

7078
Citations
Repeated observation of breast tumor subtypes in independent gene expression data sets

Therese Sørlie;Robert Tibshirani;Joel Parker;Trevor Hastie

7058
Citations
Estimating the number of clusters in a data set via the gap statistic

Robert Tibshirani;Guenther Walther;Trevor Hastie

7050
Citations
Missing value estimation methods for DNA microarrays.

Olga G. Troyanskaya;Michael N. Cantor;Gavin Sherlock;Patrick O. Brown

4965
Citations
Sparse Principal Component Analysis

Hui Zou;Trevor Hastie;Robert Tibshirani

3976
Citations
Diagnosis of multiple cancer types by shrunken centroids of gene expression

Robert Tibshirani;Trevor Hastie;Balasubramanian Narasimhan;Gilbert Chu

3563
Citations
Statistical Models in S

John M. Chambers;Trevor J. Hastie

3369
Citations
Statistical Learning with Sparsity: The Lasso and Generalizations

Trevor Hastie;Robert Tibshirani;Martin Wainwright

3349
Citations
Addendum: Regularization and variable selection via the elastic net

Hui Zou;Trevor Hastie

687
Citations

Frequent Co-Authors

Robert Tibshirani Stanford University

Jerome H. Friedman Stanford University

Bradley Efron Stanford University

Patrick O. Brown Stanford University

Jane Elith University of Melbourne

Saharon Rosset Tel Aviv University

Manuel A. Rivas Stanford University

Daniela Witten University of Washington

Ping Li Baidu (China)

David Botstein Princeton University

External Links

Wikipedia of Trevor Hastie Personal website of Trevor Hastie Google Scholar page

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