Gareth James

23.8k total citations · 5 hit papers
60 papers, 13.8k citations indexed

About

Gareth James is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Gareth James has authored 60 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Gareth James's work include Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (8 papers) and Bayesian Methods and Mixture Models (6 papers). Gareth James is often cited by papers focused on Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (8 papers) and Bayesian Methods and Mixture Models (6 papers). Gareth James collaborates with scholars based in United States, United Kingdom and Canada. Gareth James's co-authors include Trevor Hastie, Daniela Witten, Robert Tibshirani, Catherine A. Sugar, Peter Radchenko, Jonathan Taylor, Ji Zhu, Jing Wang, Gerard J. Tellis and Ashish Sood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Gareth James

60 papers receiving 13.2k 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.

An Introduction to Statistical Learning

2013 7.8k citations Gareth James, Daniela Witten et al. profile →
An Introduction to Statistical Learning: with Applications in R

2018 1.8k citations Gareth James, Daniela Witten et al. CERN Document Server (European Organization for Nuclear Research) profile →
An Introduction to Statistical Learning

2021 792 citations Gareth James, Daniela Witten et al. profile →
Finding the Number of Clusters in a Dataset

2003 524 citations Catherine A. Sugar, Gareth James Journal of the American Statistical Association profile →
An Introduction to Statistical Learning

2023 369 citations Gareth James, Daniela Witten et al. profile →

Peers

Countries citing papers authored by Gareth James

Since Specialization

Citations

This map shows the geographic impact of Gareth James'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 Gareth James with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth James more than expected).

Fields of papers citing papers by Gareth James

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gareth James. 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 Gareth James. The network helps show where Gareth James may publish in the future.

Co-authorship network of co-authors of Gareth James

This figure shows the co-authorship network connecting the top 25 collaborators of Gareth James. A scholar is included among the top collaborators of Gareth James 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 Gareth James. Gareth James 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	Complications of vasectomy: results from a prospective audit of 105 393 procedures 2024 ·British Journal of Urology ·(unknown), Gareth James, (unknown), John Henderson	2
2	Risk of post-vasectomy infections in 133,044 vasectomies from four international vasectomy practices 2023 ·International braz j urol ·(unknown), (unknown), Gareth James, (unknown), (unknown), Michel Labrecque	2
3	An Introduction to Statistical Learning breakdown → 2023 ·Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor	369
4	Remote Ethnography: Using Photo-Elicitation as an Alternative to Participant Observation in a Study of Urban Livelihoods in Nigeria 2022 ·(unknown), Gareth James	1
5	Doubly functional graphical models in high dimensions 2019 ·Biometrika ·(unknown), Qian Cheng, Gareth James, Shaojun Guo	26
6	Penalized and Constrained Optimization: An Application to High-Dimensional Website Advertising 2019 ·Journal of the American Statistical Association ·Gareth James, (unknown), Paat Rusmevichientong	17
7	An Introduction to Statistical Learning: with Applications in R breakdown → 2018 ·CERN Document Server (European Organization for Nuclear Research) ·Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani	1777
8	Unilateral absence of vas deferens: prevalence among 23,013 men seeking vasectomy 2016 ·International braz j urol ·Sarah E. Miller, (unknown), Gareth James, (unknown), (unknown), Michel Labrecque	9
9	Predicting the Path of Technological Innovation: SAW Versus Moore, Bass, Gompertz, and Kryder 2012 ·SSRN Electronic Journal ·Ashish Sood, Gareth James, Gerard J. Tellis, Ji Zhu	2
10	Interpretable dimension reduction for classifying functional data 2012 ·Computational Statistics & Data Analysis ·Tian Siva Tian, Gareth James	17
11	Modeling data with structural and temporal correlation using lower level and higher level multilevel models 2011 ·Pharmaceutical Statistics ·Gareth James, Yinghui Zhou, Sam Miller	1
12	Sparse regulatory networks 2010 ·The Annals of Applied Statistics ·Gareth James, Chiara Sabatti, Nengfeng Zhou, Ji Zhu	13
13	Principal Component Analysis With Sparse Fused Loadings 2010 ·Journal of Computational and Graphical Statistics ·Jian Guo, Gareth James, Elizaveta Levina, George Michailidis, Zhu Ji	41
14	The Currency of Practice: Reclaiming Autonomy for the MFA 2009 ·Art Journal ·(unknown), (unknown), (unknown), Gareth James, (unknown), (unknown), (unknown), (unknown)	2
15	Functional Regression: A New Model and Approach for Predicting Market Penetration of New Products 2008 ·SSRN Electronic Journal ·Ashish Sood, Gareth James, Gerard J. Tellis	2
16	A comparison of outcomes among patients with schizophrenia in two mental health systems: A health state approach 2006 ·Schizophrenia Research ·Gareth James, Catherine A. Sugar, Rani A. Desai, Robert A. Rosenheck	14
17	Finding the Number of Clusters in a Dataset breakdown → 2003 ·Journal of the American Statistical Association ·Catherine A. Sugar, Gareth James	524
18	Functional Linear Discriminant Analysis for Irregularly Sampled Curves 2001 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·Gareth James, Trevor Hastie	209
19	Representing the UMLS as an Object-oriented Database: Modeling Issues and Advantages 2000 ·Journal of the American Medical Informatics Association ·(unknown), (unknown), Gareth James, (unknown), Limin Luo, (unknown)	61
20	The preparation and thermochemistry of the ammonium hydrogen insertion compound (NH4)0.23H0.08MoO3 1986 ·Solid State Ionics ·Peter Dickens, Simon J. Hibble, Gareth James	15

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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