ClusterR (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ClusterR (R package) (https://CRAN.R-project.org/package=ClusterR), 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 ClusterR (R package) in their Crossref records, the first in 2019; most of them (1) in 2025.
By category: AI (2) and Management (1); the journals with the most are IIMB Management Review (1), Neural Computing and Applications (1) and Pattern Recognition (1).

By year#

20192025

Papers linking to ClusterR (R package) by publication year
Year	Papers
2019	1
2022	1
2025	1

Journals#

Journals whose papers link to ClusterR (R package) most
Journal	Papers
IIMB Management Review	1
Neural Computing and Applications	1
Pattern Recognition	1

Papers linking to ClusterR (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2022-11-13	Finding compact and well-separated clusters: Clustering using silhouette coefficients	Pattern Recognition	Adil Bagirov, Ramiz M. Aliguliyev, Nargiz Sultanova	233	cites it
2019-11-30	A Hierarchical Clustering algorithm based on Silhouette Index for cancer subtype discovery from genomic data	Neural Computing and Applications	N. Nidheesh, K. A. Abdul Nazeer, P. M. Ameer	36	cites it
2025-02-16	Targeting audience personas with programmatic geographic segments using unsupervised methods	IIMB Management Review	Viraj Noorithaya	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). ClusterR (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-clusterr

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

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