---
title: "irlba (R package): papers citing this CRAN package"
description: "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."
url: https://scholar4ai.com/code/cran-irlba
markdown_url: https://scholar4ai.com/code/cran-irlba.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# irlba (R package): papers linking to it

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.

- CRAN
- https://CRAN.R-project.org/package=irlba

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | 1 |

## Papers

*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](https://doi.org/10.1007/s10579-019-09456-6) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Taylor Arnold, Nicolas Ballier, Paula Lissón et al. | 10 | cites it |
| 2021-06-05 | [Reduced multidimensional scaling](https://doi.org/10.1007/s00180-021-01116-0) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Emmanuel Paradis | 4 | cites it |
| 2025-04-17 | [Penalized principal component analysis using smoothing](https://doi.org/10.1007/s11222-025-10610-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).