weatherData (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

3 papers in the tracked journals link to weatherData (R package) in their Crossref records, the first in 2017; most of them (1) in 2023.
By category: Economics (1), Statistics (1) and Operations Research (1); the journals with the most are Environmental and Resource Economics (1), Computational Statistics (1) and Transportation Research Part C Emerging Technologies (1).

By year#

20172023

Papers linking to weatherData (R package) by publication year
Year	Papers
2017	1
2021	1
2023	1

Journals#

Journals whose papers link to weatherData (R package) most
Journal	Papers
Environmental and Resource Economics	1
Computational Statistics	1
Transportation Research Part C Emerging Technologies	1

Papers linking to weatherData (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-05-23	Estimating runway veer-off risk using a Bayesian network with flight data	Transportation Research Part C Emerging Technologies	David J. Barry	49	cites it
2017-04-13	The Allocation of Time and Risk of Lyme: A Case of Ecosystem Service Income and Substitution Effects	Environmental and Resource Economics	Kevin Berry, Jude Bayham, Spencer R. Meyer et al.	33	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

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). weatherData (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-weatherdata

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

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