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Wiley Interdisciplinary Reviews Computational Statistics Template

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About the Wiley Interdisciplinary Reviews Computational Statistics format

Wiley Interdisciplinary Reviews Computational Statistics is a peer-reviewed journal published by Wiley, covering Statistical Methods and Inference, Advanced Statistical Methods and Models, Statistical Methods and Bayesian Inference.

PublisherWiley
Reference styleAuthor–year (Chicago)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Wiley Interdisciplinary Reviews Computational Statistics 12 (3): 45–58.

Formats any DOI in Wiley Interdisciplinary Reviews Computational Statistics style. No sign-up.

Publishes research inStatistical Methods and Inference Advanced Statistical Methods and Models Statistical Methods and Bayesian Inference Bayesian Methods and Mixture Models Diverse Scientific and Economic Studies
ISSN1939-0068
Citation impact (2-yr)3.68
h-index80
i10-index337
Total citations52,226
Article processing charge$3,140
Top institutions publishing hereGeorge Mason University
Journal websiteonlinelibrary.wiley.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Wiley Interdisciplinary Reviews Computational Statistics per year

55
2014
39
2015
24
2016
37
2017
41
2018
42
2019
60
2020
34
2021
36
2022
41
2023
34
2024
54
2025

Citation impact of Wiley Interdisciplinary Reviews Computational Statistics by publication year

3.7K
2014
1.5K
2015
285
2016
637
2017
1.1K
2018
1.6K
2019
1.1K
2020
707
2021
569
2022
471
2023
242
2024
136
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Wiley Interdisciplinary Reviews Computational Statistics

Principal component analysis

Hervé Abdi, Lynne J. Williams · 1 Jul 2010

Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative dependent variables. Its goal is to extract the important information from the table, to represent it as a set of new orthogonal variables called principal components, and to display the pattern of…

10,523 citations Cite SaveGo to paper →
ggplot2

Hadley Wickham · 4 Feb 2011

Abstract This article discusses ggplot2, an open source R package, based on a grammatical theory of graphics. The underlying theory has been discussed in depth elsewhere so this article illustrates some of the consequences of the theory for creating new graphics, the importance of programmable graphics, and the rich ecosystem that has grown up around…

4,386 citations Cite SaveGo to paper →
Journal of Statistical Software

Jan de Leeuw · 30 Jun 2009

Abstract The Journal of Statistical Software is an e‐journal that publishes and reviews open source statistical software. We discuss the history, motivation, and implementation of the journal. Copyright © 2009 John Wiley & Sons, Inc. This article is categorized under: Applications of Computational Statistics > Organizations and Publications

3,608 citations Cite SaveGo to paper →
Response surface methodology

André I. Khuri, Siuli Mukhopadhyay · 1 Mar 2010

Abstract The purpose of this article is to provide a survey of the various stages in the development of response surface methodology (RSM). The coverage of these stages is organized in three parts that describe the evolution of RSM since its introduction in the early 1950s. Part I covers the period, 1951–1975, during which the…

2,081 citations Cite SaveGo to paper →
Partial least squares regression and projection on latent structure regression (PLS Regression)

Hervé Abdi · 1 Jan 2010

Abstract Partial least squares (PLS) regression ( a.k.a. projection on latent structures) is a recent technique that combines features from and generalizes principal component analysis (PCA) and multiple linear regression. Its goal is to predict a set of dependent variables from a set of independent variables or predictors. This prediction is achieved by extracting from…

1,439 citations Cite SaveGo to paper →

Wiley Interdisciplinary Reviews Computational Statistics template — frequently asked questions

How do I write a paper in the Wiley Interdisciplinary Reviews Computational Statistics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Wiley Interdisciplinary Reviews Computational Statistics template. When you export, DocuGuru compiles the paper into the official Wiley format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Wiley Interdisciplinary Reviews Computational Statistics use?
Wiley Interdisciplinary Reviews Computational Statistics uses Author–year (Chicago) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Wiley Interdisciplinary Reviews Computational Statistics 12 (3): 45–58.
Do I need to know LaTeX to submit to Wiley Interdisciplinary Reviews Computational Statistics?
No. DocuGuru generates the USG LaTeX class and compiles the PDF for you in the background, so you get a Wiley-ready Wiley Interdisciplinary Reviews Computational Statistics document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
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Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Wiley Interdisciplinary Reviews Computational Statistics format with correct headings, figures, tables, and author–year citations.
Who publishes Wiley Interdisciplinary Reviews Computational Statistics?
Wiley Interdisciplinary Reviews Computational Statistics is a multidisciplinary journal published by Wiley. DocuGuru's Wiley Interdisciplinary Reviews Computational Statistics template matches Wiley's official submission format.
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Yes — DocuGuru produces a PDF built with the official Wiley Interdisciplinary Reviews Computational Statistics template (the USG class) that is ready to submit to Wiley, together with the matching LaTeX source files.
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