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Engineering and Technology
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2026
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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
123
Citations
340053
World Ranking
8
National Ranking
6

Engineering and Technology

D-Index
136
Citations
351221
World Ranking
21
National Ranking
14

Trevor Hastie publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Trevor Hastie sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 348 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Trevor Hastie D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Trevor Hastie sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 123 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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

  • Regularization and variable selection via the elastic net

    Hui Zou;Trevor Hastie

  • Regularization Paths for Generalized Linear Models via Coordinate Descent

    Jerome Friedman;Trevor Hastie;Robert Tibshirani

  • The Elements of Statistical Learning

    Trevor Hastie;Robert Tibshirani;Jerome H. Friedman

  • An introduction to statistical learning

    Gareth James;Daniela Witten;Trevor Hastie;Robert Tibshirani

  • Generalized Additive Models.

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

  • Least angle regression

    Bradley Efron;Trevor Hastie;Iain Johnstone;Robert Tibshirani

  • The elements of statistical learning. 2001

    Trevor Hastie;Robert Tibshirani;Jerome Friedman

  • Generalized Additive Models

    Trevor J. Hastie;Robert Tibshirani

  • Additive Logistic Regression : A Statistical View of Boosting

    Jerome Friedman;Trevor Hastie;Robert Tibshirani

  • A statistical explanation of MaxEnt for ecologists

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

  • Sparse inverse covariance estimation with the graphical lasso

    Jerome Friedman;Trevor Hastie;Robert Tibshirani

  • A working guide to boosted regression trees

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

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

    Therese Sørlie;Robert Tibshirani;Joel Parker;Trevor Hastie

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

    Robert Tibshirani;Guenther Walther;Trevor Hastie

  • Missing value estimation methods for DNA microarrays.

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

  • Sparse Principal Component Analysis

    Hui Zou;Trevor Hastie;Robert Tibshirani

  • Diagnosis of multiple cancer types by shrunken centroids of gene expression

    Robert Tibshirani;Trevor Hastie;Balasubramanian Narasimhan;Gilbert Chu

  • Statistical Models in S

    John M. Chambers;Trevor J. Hastie

  • Statistical Learning with Sparsity: The Lasso and Generalizations

    Trevor Hastie;Robert Tibshirani;Martin Wainwright

  • Addendum: Regularization and variable selection via the elastic net

    Hui Zou;Trevor Hastie

Frequent Co-Authors

Robert Tibshirani
Robert Tibshirani Stanford University
Jerome H. Friedman
Jerome H. Friedman Stanford University
Bradley Efron
Bradley Efron Stanford University
Patrick O. Brown
Patrick O. Brown Stanford University
Jane Elith
Jane Elith University of Melbourne
Saharon Rosset
Saharon Rosset Tel Aviv University
Manuel A. Rivas
Manuel A. Rivas Stanford University
Daniela Witten
Daniela Witten University of Washington
Ping Li
Ping Li Baidu (China)
David Botstein
David Botstein Princeton University

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