fields (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to fields (R package) (https://CRAN.R-project.org/package=fields), 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 fields (R package) in their Crossref records, the first in 2017; most of them (2) in 2017.
By category: Operations Research (3) and Statistics (2); the journals with the most are Methodology And Computing In Applied Probability (1), Computational Statistics (1) and Spatial Statistics (1).

By year#

20172026

Papers linking to fields (R package) by publication year
Year	Papers
2017	2
2020	1
2023	1
2026	1

Journals#

Journals whose papers link to fields (R package) most
Journal	Papers
Methodology And Computing In Applied Probability	1
Computational Statistics	1
Spatial Statistics	1
OR Spectrum	1
Transportation	1

Papers linking to fields (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-02-20	An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership	Transportation	Yuxin He, Yang Zhao, Kwok‐Leung Tsui	49	cites it
2017-06-14	A Monte Carlo study of design-generating algorithms for the latent class mixed logit model	OR Spectrum	Andreas Falke, Harald Hruschka	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
2017-03-23	Efficiently estimating some common geostatistical models by ‘energy–variance matching’ or its randomized ‘conditional–mean’ versions	Spatial Statistics	Didier Girard	1	cites it
2026-04-16	Simulation and Analysis of Multifractional Stochastic Processes with R Package Rmfrac	Methodology And Computing In Applied Probability	Andriy Ya. Olenko, Nemini Samarakoon	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). fields (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-fields

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

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