rms (R package): papers linking to it

← Code and data repositories cited in research papers

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

5 papers in the tracked journals link to rms (R package) in their Crossref records, the first in 2017; most of them (2) in 2021.
By category: Economics (2), Information Systems (1) and Statistics (1); the journals with the most are Information Systems Frontiers (1), Japanese Journal of Statistics and Data Science (1) and Artificial Intelligence Review (1).

By year#

20172025

Papers linking to rms (R package) by publication year
Year	Papers
2017	1
2018	1
2021	2
2025	1

Journals#

Journals whose papers link to rms (R package) most
Journal	Papers
Information Systems Frontiers	1
Japanese Journal of Statistics and Data Science	1
Artificial Intelligence Review	1
Computational Economics	1
Journal of Family and Economic Issues	1

Papers linking to rms (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2018-06-08	Going Back in Time to Predict the Future - The Complex Role of the Data Collection Period in Social Media Analytics	Information Systems Frontiers	Stefan Stieglitz, Christian Meske, Björn Roß et al.	29	cites it
2017-10-23	Subjective Economic Status in Adolescence: Determinants and Associations with Mental Health in the Norwegian Youth@Hordaland Study	Journal of Family and Economic Issues	Tormod Bøe, Eric Dearing, Kjell Morten Stormark et al.	22	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
2021-08-13	Pupil size variation in primary facial expressions–testing potential biomarker of self-criticism	Artificial Intelligence Review	Martin Kanovský, Júlia Halamová, Bronislava Strnádelová et al.	3	cites it
2025-02-01	Fitting cure models using pseudo-observations approaches with the R package pseudoCure	Japanese Journal of Statistics and Data Science	Sy Han Chiou, Chien‐Lin Su, Feng‐Chang Lin	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). rms (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-rms

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

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