multiColl (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to multiColl (R package) (https://CRAN.R-project.org/package=multiColl), 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 multiColl (R package) in their Crossref records, the first in 2019; most of them (1) in 2024.
By category: Economics (2) and Statistics (1); the journals with the most are Computational Economics (2) and Computational Statistics (1).
3 of the papers build on one another: a later paper cites an earlier one that also links multiColl (R package).

By year#

20192024

Papers linking to multiColl (R package) by publication year
Year	Papers
2019	1
2021	1
2024	1

Journals#

Journals whose papers link to multiColl (R package) most
Journal	Papers
Computational Economics	2
Computational Statistics	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.

Diagnosis and quantification of the non-essential collinearity Computational Statistics, 2019
- The multiColl Package Versus Other Existing Packages in R to Detect Multicollinearity Computational Economics, 2021 — cites the paper above
  - A Redefined Variance Inflation Factor: Overcoming the Limitations of the Variance Inflation Factor Computational Economics, 2024 — cites the paper above

Papers linking to multiColl (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2024-03-29	A Redefined Variance Inflation Factor: Overcoming the Limitations of the Variance Inflation Factor	Computational Economics	Román Salmerón Gómez, Catalina Beatriz García García, José García-Pérez	73	cites it
2019-10-04	Diagnosis and quantification of the non-essential collinearity	Computational Statistics	Román Salmerón Gómez, Ainara Rodríguez Sánchez, Catalina Beatriz García García	40	cites it
2021-07-26	The multiColl Package Versus Other Existing Packages in R to Detect Multicollinearity	Computational Economics	Román Salmerón Gómez, Catalina Beatriz García García, José Garcı́a Pérez	14	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). multiColl (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-multicoll

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).