2026 Robert Tibshirani: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Best Scientists	175	696	638	431	386	670	493659
Engineering and Technology	149	7	7	5	5	434	454882

Research.com Recognitions

2026 - Research.com Engineering and Technology in United States Leader Award
2025 - Research.com Best Scientists Award
2025 - Research.com Engineering and Technology in United States Leader Award
2022 - Research.com Engineering and Technology in United States Leader Award
2019 - Fellow of the Royal Society, United Kingdom
2012 - Member of the National Academy of Sciences
1996 - COPSS Presidents' Award
1994 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Robert Tibshirani is affiliated with Stanford University in the United States. Their research spans multiple fields including Biochemistry, Genetics and Molecular Biology, and Medicine. The subfields they have contributed to include Statistics and Probability, Molecular Biology, Artificial Intelligence, Genetics, and Epidemiology.

The topics central to their work cover a range of methodological and applied areas:

Statistical Methods and Inference
Genetic Associations and Epidemiology
Statistical Methods and Bayesian Inference
Single-cell and spatial transcriptomics
Advanced Causal Inference Techniques
Gene expression and cancer classification
Food Allergy and Anaphylaxis Research

Frequent collaborators with Robert Tibshirani include:

Trevor Hastie (73 coauthored works)
Gareth James (28 coauthored works)
Daniela Witten (28 coauthored works)
Manuel A. Rivas (17 coauthored works)
Jonathan Taylor (15 coauthored works)

Their publications frequently appear in venues such as:

arXiv (Cornell University) with 23 publications
bioRxiv (Cold Spring Harbor Laboratory) with 18 publications
Statistics in Medicine with 4 publications
UNC Libraries with 4 publications
Nature Genetics with 3 publications

Selected recent papers include:

"Genetics of 35 blood and urine biomarkers in the UK Biobank," 2021, Nature Genetics
"Integrating genomic features for non-invasive early lung cancer detection," 2020, Nature
"An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging," 2021, Nature Aging
"Defining the features and duration of antibody responses to SARS-CoV-2 infection associated with disease severity and outcome," 2020, Science Immunology
"Transparency and reproducibility in artificial intelligence," 2020, Nature

Robert Tibshirani has authored books published by Springer International Publishing, notably "An Introduction to Statistical Learning," with editions released in 2021 and 2023, accumulating a combined citation count in the thousands.

Awards and honors include:

Fellow of the Royal Society, United Kingdom (2019)
Member of the National Academy of Sciences (2012)
COPSS Presidents' Award (1996)
Fellow of John Simon Guggenheim Memorial Foundation (1994)

Best Publications

Regression Shrinkage and Selection via the Lasso

Robert Tibshirani

59691
Citations
The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie;Robert J. Tibshirani;Jerome Friedman

58994
Citations
An introduction to the bootstrap

Bradley Efron;Robert J Tibshirani

51130
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
Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

Bradley Efron;Robert Tibshirani

8212
Citations
Sparse inverse covariance estimation with the graphical lasso

Jerome Friedman;Trevor Hastie;Robert Tibshirani

7341
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
THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL

Robert Tibshirani

5127
Citations
Missing value estimation methods for DNA microarrays.

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

4965
Citations
Regression shrinkage and selection via the lasso: a retrospective

Robert Tibshirani

4695
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

Frequent Co-Authors

Trevor Hastie Stanford University

Jerome H. Friedman Stanford University

Bradley Efron Stanford University

Jonathan Taylor Stanford University

Ronald Levy Stanford University

Patrick O. Brown Stanford University

Daniela Witten University of Washington

Ash A. Alizadeh Stanford University

Donald A. Redelmeier University of Toronto

David Botstein Princeton University

External Links

Wikipedia of Robert Tibshirani Personal website of Robert Tibshirani Google Scholar page

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