refund (R package): papers linking to it

CRAN · CRAN.R-project.org/package=refund

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to refund (R package) (https://CRAN.R-project.org/package=refund), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

7 papers in the tracked journals link to refund (R package) in their Crossref records, the first in 2017; most of them (2) in 2017.
By category: Statistics (7); the journals with the most are Statistics and Computing (4), Computational Statistics (1) and Computational Statistics & Data Analysis (1).
2 of the papers build on one another: a later paper cites an earlier one that also links refund (R package).

By year#

20172026

Papers linking to refund (R package) by publication year
Year	Papers
2017	2
2021	1
2022	1
2023	1
2025	1
2026	1

Journals#

Journals whose papers link to refund (R package) most
Journal	Papers
Statistics and Computing	4
Computational Statistics	1
Computational Statistics & Data Analysis	1
Lifetime Data Analysis	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Fast covariance estimation for sparse functional data Statistics and Computing, 2017
- Fast symmetric additive covariance smoothing Computational Statistics & Data Analysis, 2017 — cites the paper above

Papers linking to refund (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2017-04-11	Fast covariance estimation for sparse functional data	Statistics and Computing	Luo Xiao, Cai Li, William Checkley et al.	74	cites it
2017-11-21	Fast symmetric additive covariance smoothing	Computational Statistics & Data Analysis	Jona Cederbaum, Fabian Scheipl, Sonja Greven	11	cites it
2021-01-27	Bayesian wavelet-packet historical functional linear models	Statistics and Computing	Mark J. Meyer, Elizabeth J. Malloy, Brent A. Coull	6	cites it
2022-04-23	Selecting the derivative of a functional covariate in scalar-on-function regression	Statistics and Computing	Giles Hooker, Han Lin Shang	5	cites it
2026-02-23	Robust functional Cox regression model	Lifetime Data Analysis	Gizel Bakıcıerler, Ufuk Beyaztaş	2	cites it
2023-05-22	Tree-based boosting with functional data	Computational Statistics	Xiaomeng Ju, Matías Salibián‐Barrera	1	cites it
2025-12-05	Penalized spatial function-on-function regression	Statistics and Computing	Ufuk Beyaztaş, Han Lin Shang, Gizel Bakicierler Sezer	0	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). refund (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-refund

@misc{scholar4ai-code-cran-refund,
  author = {{Scholar4AI}},
  title = {refund (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-refund}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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