dbscan (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to dbscan (R package) (https://CRAN.R-project.org/package=dbscan), 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 dbscan (R package) in their Crossref records, the first in 2019; most of them (2) in 2019.
By category: Statistics (3) and AI (2); the journals with the most are Computational Statistics (1), Statistics and Computing (1) and Computational Statistics & Data Analysis (1).

By year#

20192026

Papers linking to dbscan (R package) by publication year
Year	Papers
2019	2
2023	1
2025	1
2026	1

Journals#

Journals whose papers link to dbscan (R package) most
Journal	Papers
Computational Statistics	1
Statistics and Computing	1
Computational Statistics & Data Analysis	1
Information Fusion	1
Data Mining and Knowledge Discovery	1

Papers linking to dbscan (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-01-27	A machine learning based intrusion detection scheme for data fusion in mobile clouds involving heterogeneous client networks	Information Fusion	Saurabh Dey, Qiang Ye, Srinivas Sampalli	95	cites it
2019-11-21	On normalization and algorithm selection for unsupervised outlier detection	Data Mining and Knowledge Discovery	Sevvandi Kandanaarachchi, Mario Andrés Muñoz, Rob J. Hyndman et al.	62	cites it
2023-11-24	Randomized self-updating process for clustering large-scale data	Statistics and Computing	Shang‐Ying Shiu, Yen-Shiu Chin, Szu‐Han Lin et al.	0	cites it
2025-12-29	Efficient subsampling for exponential family models	Computational Statistics & Data Analysis	Subhadra Dasgupta, Holger Dette	0	cites it
2026-04-16	Area-based epigraph and hypograph indices for functional outlier detection	Computational Statistics	Belén Pulido, Alba M. Franco‐Pereira, Rosa Elvira Lillo 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). dbscan (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-dbscan

@misc{scholar4ai-code-cran-dbscan,
  author = {{Scholar4AI}},
  title = {dbscan (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-dbscan}},
  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).