earth (R package): papers linking to it

← Code and data repositories cited in research papers

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

7 papers in the tracked journals link to earth (R package) in their Crossref records, the first in 2018; most of them (2) in 2026.
By category: AI (4), Operations Research (2) and Statistics (1); the journals with the most are Neural Computing and Applications (2), Expert Systems with Applications (1) and Machine Learning (1).

By year#

20182026

Papers linking to earth (R package) by publication year
Year	Papers
2018	1
2020	1
2021	1
2023	1
2025	1
2026	2

Journals#

Journals whose papers link to earth (R package) most
Journal	Papers
Neural Computing and Applications	2
Expert Systems with Applications	1
Machine Learning	1
Central European Journal of Operations Research	1
Transportation Research Part A Policy and Practice	1

Papers linking to earth (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-07-06	Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms	Neural Computing and Applications	Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis	177	cites it
2021-07-20	Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques	Neural Computing and Applications	Paulino José García Nieto, Esperanza García–Gonzalo, José P. Paredes–Sánchez	67	cites it
2018-12-10	Piecewise regression analysis through information criteria using mathematical programming	Expert Systems with Applications	Ioannis Gkioulekas, Lazaros G. Papageorgiou	45	cites it
2023-08-07	The use of machine learning techniques for assessing the potential of organizational resilience	Central European Journal of Operations Research	Tomasz Ewertowski, Buse Çisil Güldoğuş, Semih Kuter et al.	29	cites it
2025-03-25	DatRel: a noise-tolerant data relocation approach for effective synthetic data generation in imbalanced classifiers	Machine Learning	Fatih Sağlam	4	cites it
2026-06-01	Adaptively fitting expansions of radial basis functions in regression	Computational Statistics	Eugène-Patrice Ndong Nguéma	0	cites it
2026-08-25	Factors associated with discrepancies between scheduled and actual flight block times: evidence from U.S. domestic airline operations	Transportation Research Part A Policy and Practice	Yi Gao, Zhi Dou, Sen Wang et al.	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). earth (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-earth

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

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