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 Jonathan Taylor sits on this spectrum.
This scientist: 142 publications — 34th percentile
34% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Jonathan Taylor sits on this spectrum.
This scientist: 50 D-Index — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Jonathan Taylor is affiliated with Stanford University in the United States. Their research centers on fields of mathematics, with specific emphasis on statistics and probability. Their work also extends into subfields including molecular biology, artificial intelligence, environmental engineering, and management science and operations research.
Their scholarly output includes contributions to several main topics, such as statistical methods and inference, Gaussian processes and Bayesian inference, advanced causal inference techniques, statistical methods and Bayesian inference more broadly, ferroptosis and cancer prognosis, bioinformatics and genomic networks, and soil geostatistics and mapping.
Jonathan Taylor has published frequently in venues such as arXiv (Cornell University), with four publications, the Journal of the American Statistical Association, with two publications, bioRxiv (Cold Spring Harbor Laboratory), with two publications, The Annals of Statistics, and Science Advances.
Recent papers authored by or involving Jonathan Taylor include:
Jonathan Taylor has collaborated frequently with other researchers, including Robert Tibshirani, Trevor Hastie, Gareth James, Daniela Witten, and Snigdha Panigrahi.
In addition to journal articles, Jonathan Taylor has contributed to book publications. One noted publication is An Introduction to Statistical Learning, published by Springer International Publishing in 2023, which has accumulated a notable number of citations.
Robert J. Adler;Jonathan E. Taylor
John D. Storey;Jonathan E. Taylor;David Siegmund
Brian Knutson;Jonathan Taylor;Matthew Kaufman;Richard Peterson
Ryan J. Tibshirani;Jonathan Taylor
Jason D. Lee;Dennis L. Sun;Yuekai Sun;Jonathan E. Taylor
Richard Lockhart;Jonathan Taylor;Ryan J. Tibshirani;Robert Tibshirani
Robert Tibshirani;Jacob Bien;Jerome Friedman;Trevor Hastie
Jacob Bien;Jonathan Taylor;Robert Tibshirani
K E Watkins;T Paus;J P Lerch;A Zijdenbos
Ryan J. Tibshirani;Jonathan Taylor
Keith J. Worsley;Jonathan E. Taylor;Francesco Tomaiuolo;Jason Lerch
Jonathan Taylor;Robert J. Tibshirani
Ryan J. Tibshirani;Jonathan Taylor;Richard Lockhart;Robert Tibshirani
Soo-Yon Rhee;Jonathan Taylor;Gauhar Wadhera;Asa Ben-Hur
Moo K. Chung;Keith J. Worsley;Keith J. Worsley;Steve Robbins;Tomáš Paus
William Fithian;Dennis Sun;Jonathan Taylor
Trevor Hastie;Jonathan Taylor;Robert Tibshirani;Guenther Walther
KJ Worsley;JE Taylor;F Carbonell;MK Chung
Arnaud Charil;Alex P Zijdenbos;Jonathan Taylor;Cyrus Boelman
Logan Grosenick;Brad Klingenberg;Kiefer Katovich;Brian Knutson
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