Trevor Hastie

290.7k citations

301 papers · 179.6k indexed · 58 hit papers · h-index 107

Molecular Biology top 0.02%
Artificial Intelligence top 0.01%
Statistics and Probability top 0.01%
Computer Vision and Pattern Recognition top 0.02%
Ecology top 0.02%

Co-authors: Robert Tibshirani Jerome H. Friedman Hui Zou J. Friedman Rob Tibshirani Daniela Witten Jane Elith Gareth James
Topics: Statistical Methods and Inference (55 papers)Advanced Statistical Methods and Models (34 papers)Gene expression and cancer classification (30 papers)
Cited by: Statistics and Probability Ecological Modeling Artificial Intelligence
Journals: Proceedings of the National Academy of Sciences Nucleic Acids Research Nature Medicine
Partner nations: United States Canada Australia

In The Last Decade

Trevor Hastie

295 papers receiving 172.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Elements of Statistical Learning

2001 16.8k citations Trevor Hastie, Robert Tibshirani et al. profile →
The Elements of Statistical Learning

2009 14.5k citations Trevor Hastie, Robert Tibshirani et al. profile →
Regularization and Variable Selection Via the Elastic Net

2005 12.4k citations Hui Zou, Trevor Hastie profile →
Regularization Paths for Generalized Linear Models via Coordinate Descent

2010 10.8k citations Trevor Hastie, Robert Tibshirani et al. profile →
Regularization Paths for Generalized Linear Models via Coordinate Descent.

2010 10.0k citations Trevor Hastie, Rob Tibshirani et al. profile →
The Elements of Statistical Learning: Data Mining, Inference, and Prediction

2013 9.2k citations Trevor Hastie, Robert Tibshirani et al. profile →
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

2001 8.3k citations Thérese Sørlie, Robert Tibshirani et al. Proceedings of the National Academy of Sciences profile →
An Introduction to Statistical Learning

2013 7.8k citations Trevor Hastie, Robert Tibshirani et al. profile →
Generalized Additive Models.

1991 6.8k citations Trevor Hastie, Robert Tibshirani et al. profile →
Least angle regression

2004 6.1k citations Trevor Hastie, Robert Tibshirani et al. profile →
A statistical explanation of MaxEnt for ecologists

2010 5.0k citations Jane Elith, Trevor Hastie et al. profile →
A working guide to boosted regression trees

2008 5.0k citations Jane Elith, Trevor Hastie et al. profile →
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

2000 4.8k citations Trevor Hastie, Robert Tibshirani et al. profile →
Repeated observation of breast tumor subtypes in independent gene expression data sets

2003 4.0k citations Thérese Sørlie, Robert Tibshirani et al. Proceedings of the National Academy of Sciences profile →
Sparse inverse covariance estimation with the graphical lasso

2007 3.7k citations Trevor Hastie et al. Biostatistics profile →
Missing value estimation methods for DNA microarrays

2001 2.8k citations Trevor Hastie, Robert Tibshirani et al. Bioinformatics profile →
Generalized Additive Models

1986 2.5k citations Trevor Hastie, Robert Tibshirani profile →
Diagnosis of multiple cancer types by shrunken centroids of gene expression

2002 2.1k citations Robert Tibshirani, Trevor Hastie et al. Proceedings of the National Academy of Sciences profile →
Sparse Principal Component Analysis

2006 2.0k citations Hui Zou, Trevor Hastie et al. profile →
Generalized linear and generalized additive models in studies of species distributions: setting the scene

2002 1.8k citations Trevor Hastie et al. profile →
An Introduction to Statistical Learning: with Applications in R

2018 1.8k citations Trevor Hastie, Robert Tibshirani et al. profile →
Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent

2011 1.5k citations Trevor Hastie, Rob Tibshirani et al. profile →
Statistical Models in S

1990 1.4k citations Trevor Hastie et al. profile →
Statistical Learning with Sparsity

2015 1.4k citations Trevor Hastie, Robert Tibshirani et al. profile →
Varying-Coefficient Models

1993 1.4k citations Trevor Hastie, Robert Tibshirani profile →
Multi-class AdaBoost

2009 1.3k citations Trevor Hastie, Saharon Rosset et al. profile →
Pathwise coordinate optimization

2007 1.2k citations Trevor Hastie, Robert Tibshirani et al. profile →
Generalized additive models for medical research

1995 1.1k citations Trevor Hastie, Robert Tibshirani profile →
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis

2009 954 citations Robert Tibshirani, Trevor Hastie et al. Biostatistics profile →
Classification by pairwise coupling

1998 866 citations Trevor Hastie, Robert Tibshirani profile →
A Sparse-Group Lasso

2012 847 citations Trevor Hastie, Robert Tibshirani et al. profile →
An Introduction to Statistical Learning

2021 792 citations Trevor Hastie, Robert Tibshirani et al. profile →
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival

2005 733 citations Howard Y. Chang, Dimitry S.A. Nuyten et al. Proceedings of the National Academy of Sciences profile →
Principal component analysis

2022 689 citations Trevor Hastie, Elena Tuzhilina et al. profile →
Principal Curves

1989 660 citations Trevor Hastie et al. Journal of the American Statistical Association profile →
Linear Smoothers and Additive Models

1989 625 citations Trevor Hastie, Robert Tibshirani et al. profile →
On the “degrees of freedom” of the lasso

2007 595 citations Hui Zou, Trevor Hastie et al. profile →
Generalized Additive Models: Some Applications

1987 593 citations Trevor Hastie, Robert Tibshirani Journal of the American Statistical Association profile →
Spectral Regularization Algorithms for Learning Large Incomplete Matrices.

2010 592 citations Trevor Hastie, Robert Tibshirani et al. profile →
Flexible Discriminant Analysis by Optimal Scoring

1994 592 citations Trevor Hastie, Robert Tibshirani et al. Journal of the American Statistical Association profile →
Penalized Discriminant Analysis

1995 590 citations Trevor Hastie, Robert Tibshirani et al. profile →
L1-Regularization Path Algorithm for Generalized Linear Models

2007 586 citations Trevor Hastie et al. profile →
1-norm Support Vector Machines

2003 569 citations Ji Zhu, Saharon Rosset et al. Neural Information Processing Systems profile →
Computer Age Statistical Inference

2016 539 citations Trevor Hastie et al. profile →
Making better biogeographical predictions of species’ distributions

2006 539 citations Trevor Hastie et al. profile →
Genome-wide association analysis by lasso penalized logistic regression

2009 526 citations Trevor Hastie et al. Bioinformatics profile →
Prediction by Supervised Principal Components

2006 523 citations Trevor Hastie, Robert Tibshirani et al. Journal of the American Statistical Association profile →
Discriminant Analysis by Gaussian Mixtures

1996 500 citations Trevor Hastie, Robert Tibshirani profile →
Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort

2017 420 citations Trevor Hastie et al. profile →
Strong Rules for Discarding Predictors in Lasso-Type Problems

2011 393 citations Robert Tibshirani, Trevor Hastie et al. profile →
An Introduction to Statistical Learning

2023 369 citations Trevor Hastie, Robert Tibshirani et al. profile →
Very sparse random projections

2006 353 citations Trevor Hastie et al. profile →
Local Regression: Automatic Kernel Carpentry

1993 298 citations Trevor Hastie et al. profile →
Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities

2018 294 citations Jennifer L. Hicks, Trevor Hastie et al. profile →
Point process models for presence‐only analysis

2015 290 citations Jane Elith, William Fithian et al. profile →
Elastic Net Regularization Paths for All Generalized Linear Models

2023 271 citations Balasubramanian Narasimhan, Trevor Hastie et al. profile →
Cross-Validation: What Does It Estimate and How Well Does It Do It?

2023 183 citations Trevor Hastie, Robert Tibshirani et al. Journal of the American Statistical Association profile →
Surprises in high-dimensional ridgeless least squares interpolation

2022 134 citations Trevor Hastie, Saharon Rosset et al. profile →

Peers

Countries citing papers authored by Trevor Hastie

Since Specialization

Citations

This map shows the geographic impact of Trevor Hastie's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Trevor Hastie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Hastie more than expected).

Fields of papers citing papers by Trevor Hastie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trevor Hastie. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Trevor Hastie. The network helps show where Trevor Hastie may publish in the future.

Co-authorship network of co-authors of Trevor Hastie

This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Hastie. A scholar is included among the top collaborators of Trevor Hastie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Trevor Hastie. Trevor Hastie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A randomized clinical trial testing digital mindset intervention for knee osteoarthritis pain and activity improvement 2024 ·npj Digital Medicine ·(unknown),(unknown),(unknown),Trevor Hastie,Sean R. Zion,Paula M. L. Moya,Nicholas J. Giori,Jennifer L. Hicks,Alia J. Crum,Scott L. Delp	2
2	Reorienting Latent Variable Modeling for Supervised Learning 2023 ·Multivariate Behavioral Research ·Booil Jo,Trevor Hastie,(unknown),Eric A. Youngstrom,Robert L. Findling,Sarah McCue Horwitz	0
3	Significant sparse polygenic risk scores across 813 traits in UK Biobank 2022 ·PLoS Genetics ·Yosuke Tanigawa,Junyang Qian,Guhan Venkataraman,Johanne Marie Justesen,(unknown),Robert Tibshirani,Trevor Hastie,Manuel A. Rivas	54
4	Fast numerical optimization for genome sequencing data in population biobanks 2021 ·Bioinformatics ·(unknown),Christopher Chang,Yosuke Tanigawa,Balasubramanian Narasimhan,Trevor Hastie,Robert Tibshirani,Manuel A. Rivas	9
5	Survival analysis on rare events using group-regularized multi-response Cox regression 2021 ·Bioinformatics ·(unknown),Yosuke Tanigawa,Johanne Marie Justesen,Jonathan Taylor,Trevor Hastie,Robert Tibshirani,Manuel A. Rivas	7
6	Polygenic risk modeling with latent trait-related genetic components 2021 ·European Journal of Human Genetics ·Matthew Aguirre,Yosuke Tanigawa,Guhan Venkataraman,Rob Tibshirani,Trevor Hastie,Manuel A. Rivas	7
7	Principal curve approaches for inferring 3D chromatin architecture 2020 ·Biostatistics ·Elena Tuzhilina,Trevor Hastie,Mark R. Segal	6
8	Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank 2020 ·Biostatistics ·Ruilin Li,Christopher Chang,Johanne Marie Justesen,Yosuke Tanigawa,Junyang Qian,Trevor Hastie,Manuel A. Rivas,Robert Tibshirani	22
9	A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank 2020 ·PLoS Genetics ·Junyang Qian,Yosuke Tanigawa,(unknown),Matthew Aguirre,Christopher Chang,Robert Tibshirani,Manuel A. Rivas,Trevor Hastie	67
10	Clinically Relevant Molecular Subtypes in Leiomyosarcoma 2015 ·Clinical Cancer Research ·Xiangqian Guo,Vickie Y. Jo,Anne M. Mills,Shirley Zhu,Cheng‐Han Lee,Íñigo Espinosa,Marisa R. Nucci,Sushama Varma,Erna Forgó,Trevor Hastie,Sharon M. Anderson,Kristen N. Ganjoo,Andrew H. Beck,Robert B. West,Christopher Fletcher,Matt van de Rijn	112
11	A Proportional Observer Bias Model for Multispecies Distribution Modeling 2014 ·arXiv (Cornell University) ·William Fithian,Jane Elith,Trevor Hastie,David A. Keith	2
12	Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survivalbreakdown → 2005 ·Proceedings of the National Academy of Sciences ·Howard Y. Chang,Dimitry S.A. Nuyten,Julie B. Sneddon,Trevor Hastie,Robert Tibshirani,Thérese Sørlie,Hongyue Dai,Yudong D. He,Laura J. van’t Veer,Harry Bartelink,Matt van de Rijn,Patrick O. Brown,Marc J. van de Vijver	733
13	Efficient quadratic regularization for expression arrays 2004 ·Biostatistics ·Trevor Hastie	59
14	Efficient quadratic regularization for expression arrays 2004 ·Biostatistics ·Trevor Hastie	63
15	The Entire Regularization Path for the Support Vector Machine 2004 ·Neural Information Processing Systems ·Saharon Rosset,Robert Tibshirani,Ji Zhu,Trevor Hastie	14
16	A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning 2004 ·Neural Information Processing Systems ·Saharon Rosset,Ji Zhu,Hui Zou,Trevor Hastie	25
17	1-norm Support Vector Machinesbreakdown → 2003 ·Neural Information Processing Systems ·Ji Zhu,Saharon Rosset,Robert Tibshirani,Trevor Hastie	569
18	An exploration of sentiment summarization 2003 ·National Conference on Artificial Intelligence ·Philip Beineke,Trevor Hastie,Christopher D. Manning,Shivakumar Vaithyanathan	34
19	Ischemia in three left ventricular regions: Insights into the pathogenesis of acute ischemic mitral regurgitation 2003 ·Journal of Thoracic and Cardiovascular Surgery ·Tomasz A. Timek,David T. Lai,Frederick A. Tibayan,David Liang,George T. Daughters,Paul Dagum,Mary K. Zasio,S. Lo,Trevor Hastie,Neil B. Ingels,D. Craig Miller	35
20	Local Likelihood Estimation 1987 ·Journal of the American Statistical Association ·Robert Tibshirani,Trevor Hastie	354

About Trevor Hastie

Trevor Hastie is a scholar working on Statistics and Probability, Ecological Modeling and Artificial Intelligence, having authored 301 papers that have together received 179.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (55 papers), Advanced Statistical Methods and Models (34 papers) and Gene expression and cancer classification (30 papers). The work is most often cited by research in Statistics and Probability (21.0k citations), Ecological Modeling (9.2k citations) and Artificial Intelligence (31.5k citations). Trevor Hastie has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Robert Tibshirani, Jerome H. Friedman, Hui Zou, J. Friedman, Rob Tibshirani, Daniela Witten, Jane Elith, Gareth James, Richard A. Brown and Bradley Efron. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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