rpart.plot (R package): papers linking to it

CRAN · CRAN.R-project.org/package=rpart.plot

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to rpart.plot (R package) (https://CRAN.R-project.org/package=rpart.plot), 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 rpart.plot (R package) in their Crossref records, the first in 2017; most of them (1) in 2023.
By category: Statistics (2), AI (2) and Higher Education and Research (1); the journals with the most are Computational Statistics (1), Machine Learning (1) and Scientometrics (1).

By year#

20172023

Papers linking to rpart.plot (R package) by publication year
Year	Papers
2017	1
2018	1
2020	1
2022	1
2023	1

Journals#

Journals whose papers link to rpart.plot (R package) most
Journal	Papers
Computational Statistics	1
Machine Learning	1
Scientometrics	1
Computational Statistics & Data Analysis	1
Expert Systems with Applications	1

Papers linking to rpart.plot (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-10-13	Evaluating time series forecasting models: an empirical study on performance estimation methods	Machine Learning	Vítor Cerqueira, Luı́s Torgo, Igor Mozetič	525	cites it
2022-07-25	Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	Computational Statistics	Fabrizio Maturo, Rosanna Verde	28	cites it
2017-06-02	Classification trees for poverty mapping	Computational Statistics & Data Analysis	Penny Bilton, Geoff Jones, Siva Ganesh et al.	25	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
2023-02-20	Institutional drivers of research productivity: a canonical multivariate analysis of Romanian public universities	Scientometrics	Claudiu Vasile Kifor, Ana Maria Benedek, Ioan Sîrbu et al.	9	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). rpart.plot (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-rpart-plot

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

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