geoR (R package): papers linking to it

← Code and data repositories cited in research papers

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

6 papers in the tracked journals link to geoR (R package) in their Crossref records, the first in 2017; most of them (2) in 2017.
By category: Statistics (6); the journals with the most are Statistical Papers (2), Computational Statistics (2) and Spatial Statistics (2).

By year#

20172025

Papers linking to geoR (R package) by publication year
Year	Papers
2017	2
2018	1
2021	1
2024	1
2025	1

Journals#

Journals whose papers link to geoR (R package) most
Journal	Papers
Statistical Papers	2
Computational Statistics	2
Spatial Statistics	2

Papers linking to geoR (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2017-12-06	Generalized spatial fusion model framework for joint analysis of point and areal data	Spatial Statistics	Craig Wang, Milo Alan Puhan, Reinhard Furrer	22	cites it
2017-12-12	Geostatistical estimation and prediction for censored responses	Spatial Statistics	José Alejandro Ordoñez, Dipankar Bandyopadhyay, Victor Hugo Lachos et al.	15	cites it
2018-08-27	Simulated variogram-based error inspection of manufactured parts	Statistical Papers	Grazia Vicario, Giovanni Pistone	4	cites it
2021-05-09	A computational validation for nonparametric assessment of spatial trends	Computational Statistics	Andrea Meilán-Vila, Rubén Fernández‐Casal, R. M. Crujeiras et al.	3	cites it
2025-09-20	Nonparametric directional variogram estimation in the presence of outlier blocks	Statistical Papers	Jana Gierse, Roland Fried	3	cites it
2024-09-06	A precise and efficient exceedance-set algorithm for detecting environmental extremes	Computational Statistics	Thomas Suesse, Alexander Brenning	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). geoR (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-geor

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

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