---
title: "rms (R package): papers citing this CRAN package"
description: "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."
url: https://scholar4ai.com/code/cran-rms
markdown_url: https://scholar4ai.com/code/cran-rms.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

# rms (R package): papers linking to it

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.

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

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

## 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

*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](https://scholar4ai.com/journals/information-systems-frontiers.md) | 1 |
| [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 1 |
| [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 1 |
| [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 |
| [Journal of Family and Economic Issues](https://scholar4ai.com/journals/journal-of-family-and-economic-issues.md) | 1 |

## Papers

*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](https://doi.org/10.1007/s10796-018-9867-2) | [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | 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](https://doi.org/10.1007/s10834-017-9553-4) | [Journal of Family and Economic Issues](https://scholar4ai.com/journals/journal-of-family-and-economic-issues.md) | 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](https://doi.org/10.1007/s10614-021-10154-1) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 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](https://doi.org/10.1007/s10462-021-10057-5) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 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](https://doi.org/10.1007/s42081-024-00288-5) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 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

```bibtex
@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}
}
```

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