PMCMR (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to PMCMR (R package) (https://CRAN.R-project.org/package=PMCMR), 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 PMCMR (R package) in their Crossref records, the first in 2017; most of them (2) in 2018.
By category: AI (3), Finance (1) and Tourism and Hospitality (1); the journals with the most are Applied Intelligence (2), Neural Networks (1) and Risk Management (1).

By year#

20172020

Papers linking to PMCMR (R package) by publication year
Year	Papers
2017	2
2018	2
2020	1

Journals#

Journals whose papers link to PMCMR (R package) most
Journal	Papers
Applied Intelligence	2
Neural Networks	1
Risk Management	1
Information Technology & Tourism	1

Papers linking to PMCMR (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2018-12-21	An extensive experimental survey of regression methods	Neural Networks	Manuel Fernández-Delgado, Manisha Sanjay Sirsat, Eva Cernadas et al.	380	cites it
2018-03-08	Hotel online reviews: different languages, different opinions	Information Technology & Tourism	Nuno António, Ana de Almeida, Luís Nunes et al.	47	cites it
2017-09-13	A survival ensemble of extreme learning machine	Applied Intelligence	Hong Wang, Jianxin Wang, Lifeng Zhou	14	cites it
2020-08-14	Improving the one-against-all binary approach for multiclass classification using balancing techniques	Applied Intelligence	Warley Almeida Silva, Saulo Moraes Villela	11	cites it
2017-07-18	Improving the performance of statistical learning methods with a combined meta-heuristic for consumer credit risk assessment	Risk Management	Hazar Altınbaş, Göktuğ Cenk Akkaya	7	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). PMCMR (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-pmcmr

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

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