rgdal (R package): papers linking to it

← Code and data repositories cited in research papers

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

8 papers in the tracked journals link to rgdal (R package) in their Crossref records, the first in 2018; most of them (3) in 2018.
By category: Statistics (5), Economics (1) and Information Systems (1); the journals with the most are Computational Statistics (2), Spatial Statistics (2) and Small Business Economics (1).

By year#

20182025

Papers linking to rgdal (R package) by publication year
Year	Papers
2018	3
2021	1
2023	2
2025	2

Journals#

Journals whose papers link to rgdal (R package) most
Journal	Papers
Computational Statistics	2
Spatial Statistics	2
Small Business Economics	1
Statistics and Computing	1
Information Systems Frontiers	1

Papers linking to rgdal (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-01-15	A Methodology for Automatic Acquisition of Flood‐event Management Information From Social Media: the Flood in Messinia, South Greece, 2016	Information Systems Frontiers	Stathis G. Arapostathis	30	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
2025-04-08	Greening pastures: Ecosystems for sustainable entrepreneurship	Small Business Economics	Jip Leendertse, Frank J. van Rijnsoever	13	cites it
2018-06-19	A multi-scale area-interaction model for spatio-temporal point patterns	Spatial Statistics	Adina A. Iftimi, M. N. M. van Lieshout, Francisco Montes	12	cites it
2018-04-21	Spatial detrending revisited: Modelling local trend patterns in NO2-concentration in Belgium and Germany	Spatial Statistics	Svenia Behm, Harry Haupt, A. Schmid	5	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
2025-10-17	Efficient Likelihood-Based Temporal Changepoint Detection in Spatio-Temporal Processes	Statistics and Computing	Gaurav Agarwal, Idris Arthur Eckley, Paul Fearnhead	3	cites it
2023-09-29	Housing variables and immigration: an exploratory analysis in New York City	Computational Statistics	Jhonatan Medri, Braden D. Probst, Jürgen Symanzik	1	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). rgdal (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-rgdal

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

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