Robert Tibshirani

Robert Tibshirani is a researcher affiliated with Professor of Biomedical Data Sciences, and of Statistics, Stanford University, specializing in AI & Machine Learning. Their work has been cited 610,768 times. This profile visualizes their global influence, highlighting strong citation networks in CN.

AI & Machine Learning

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Professor of Biomedical Data Sciences, and of Statistics, Stanford University•

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Robert Tibshirani's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 610,768
Citing Countries: 2

As of April 2026.

Robert Tibshirani has an h-index of 1 and 610,768 total citations across 1 publication, with research cited by institutions in 2 countries.

Global Impact Map

Visualizing the geographic distribution of institutions that have cited your work.

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Top Citing Countries(Limited)

China(CN)

United States(US)

Top Citing Institutions(Limited)

Tsinghua University

Microsoft

Microsoft Research

OpenAI

Visa Evidence Package

Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.

Citer Influence Network

Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 2 of 2 countries (5 total citations).

Scholar

Robert Tibshirani

China

United States

React Flow

Letter of Support — Candidate Recommenders

Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.

#1
Liyuan Wang
7.0
Tsinghua University
China· Cited your work 1 time
IndependentTop institution
#2
Xingxing Zhang
7.0
Tsinghua University
China· Cited your work 1 time
IndependentTop institution
#3
Scott Mayer McKinney
8.5
OpenAI
United States· Cited your work 1 time
IndependentTop institutionDiversifies geography
#4
Hang Su
7.0
Tsinghua University
China· Cited your work 1 time
IndependentTop institution
#5
Jun Zhu
7.0
Tsinghua University
China· Cited your work 1 time
IndependentTop institution

Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.

Cited by 3 papers

3 / 3 independent

Citations flagged as non-independent share the scholar's home institution (Stanford University). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.

A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)· cites “The Elements of Statistical Learning: Data Mining, Inference, and Prediction”
(title pending — citation is still being processed)
· cites “The Elements of Statistical Learning: Data Mining, Inference, and Prediction”
Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan + 1 more
arXiv (Preprint / Technical Report)· cites “The Elements of Statistical Learning: Data Mining, Inference, and Prediction”