raster (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to raster (R package) (https://CRAN.R-project.org/package=raster), 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 raster (R package) in their Crossref records, the first in 2017; most of them (2) in 2018.
By category: Economics (3), AI (3) and Higher Education and Research (1); the journals with the most are Land Use Policy (3), Journal Of Big Data (2) and Scientometrics (1).

By year#

20172025

Papers linking to raster (R package) by publication year
Year	Papers
2017	1
2018	2
2019	1
2020	1
2023	1
2024	1
2025	1

Journals#

Journals whose papers link to raster (R package) most
Journal	Papers
Land Use Policy	3
Journal Of Big Data	2
Scientometrics	1
Knowledge and Information Systems	1
Spatial Statistics	1

Papers linking to raster (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2017-05-04	Sustainable recommendation domains for scaling agricultural technologies in Tanzania	Land Use Policy	Francis Muthoni, Zhe Guo, Mateete A. Bekunda et al.	31	cites it
2018-07-08	Why do ecologists search for co-authorships? Patterns of co-authorship networks in ecology (1977–2016)	Scientometrics	Anderson Matos Medina	14	cites it
2023-10-18	Quality of interaction-based predictive model for support of online learning in pandemic situations	Knowledge and Information Systems	Faiza Mumtaz, Ali Imran Jehangiri, Waqar Ishaq et al.	11	cites it
2019-03-22	Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data	Journal Of Big Data	Insha Ullah, Kerrie Lee Mengersen	6	cites it
2020-07-31	Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data	Journal Of Big Data	Jacinta Holloway, Kate J. Helmstedt, Kerrie Lee Mengersen	6	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
2024-09-23	Structured decision-making shows broad support from diverse stakeholders for habitat conservation and restoration in Kenya’s Central Highlands	Land Use Policy	Gwili E. M. Gibbon, Martin Dallimer, Hassan Golo et al.	2	cites it
2025-10-15	Spatial modeling of urban expansion for the territorial management of Ilha Comprida – Brazil	Land Use Policy	Hedla Mendonça Andrade, Ângela Terumi Fushita, Vitor Vieira Vasconcelos	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). raster (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-raster

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).