RColorBrewer (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to RColorBrewer (R package) (https://CRAN.R-project.org/package=RColorBrewer), 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 RColorBrewer (R package) in their Crossref records, the first in 2018; most of them (2) in 2019.
By category: Statistics (3), Higher Education and Research (1) and AI (1); the journals with the most are Computational Statistics (3), Scientometrics (1) and Expert Systems with Applications (1).

By year#

20182023

Papers linking to RColorBrewer (R package) by publication year
Year	Papers
2018	1
2019	2
2021	1
2023	1

Journals#

Journals whose papers link to RColorBrewer (R package) most
Journal	Papers
Computational Statistics	3
Scientometrics	1
Expert Systems with Applications	1

Papers linking to RColorBrewer (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-04-26	Can tweets be used to detect problems early with scientific papers? A case study of three retracted COVID-19/SARS-CoV-2 papers	Scientometrics	Robin Haunschild, Lutz Bornmann	29	cites it
2018-12-27	Inducing non-orthogonal and non-linear decision boundaries in decision trees via interactive basis functions	Expert Systems with Applications	Antonio Páez, Fernando A. López Hernández, Manuel Ruiz Marín et al.	20	cites it
2023-03-30	Let’s talk about the weather: a cluster-based approach to weather forecast accuracy	Computational Statistics	Jill F. Lundell, Brennan Bean, Jürgen Symanzik	4	cites it
2019-02-05	Soul of the community: an attempt to assess attachment to a community	Computational Statistics	Anna Quach, Jürgen Symanzik, Nicole Forsgren	3	cites it
2019-03-18	Consistency of survey opinions and external data	Computational Statistics	Samuel Ackerman	2	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). RColorBrewer (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-rcolorbrewer

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

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