irlba (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to irlba (R package) (https://CRAN.R-project.org/package=irlba), 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#

3 papers in the tracked journals link to irlba (R package) in their Crossref records, the first in 2019; most of them (1) in 2025.
By category: Statistics (2) and AI (1); the journals with the most are Statistics and Computing (1), Computational Statistics (1) and Language Resources and Evaluation (1).

By year#

20192025

Papers linking to irlba (R package) by publication year
Year	Papers
2019	1
2021	1
2025	1

Journals#

Journals whose papers link to irlba (R package) most
Journal	Papers
Statistics and Computing	1
Computational Statistics	1
Language Resources and Evaluation	1

Papers linking to irlba (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-04-08	Beyond lexical frequencies: using R for text analysis in the digital humanities	Language Resources and Evaluation	Taylor Arnold, Nicolas Ballier, Paula Lissón et al.	10	cites it
2021-06-05	Reduced multidimensional scaling	Computational Statistics	Emmanuel Paradis	4	cites it
2025-04-17	Penalized principal component analysis using smoothing	Statistics and Computing	Rebecca Hurwitz, Georg Hahn	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). irlba (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-irlba

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

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