fabMix (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to fabMix (R package) (https://CRAN.R-project.org/package=fabMix), 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 fabMix (R package) in their Crossref records, the first in 2019; most of them (2) in 2019.
By category: Statistics (3); the journals with the most are Statistics and Computing (2) and Computational Statistics & Data Analysis (1).
2 of the papers build on one another: a later paper cites an earlier one that also links fabMix (R package).

By year#

20192022

Papers linking to fabMix (R package) by publication year
Year	Papers
2019	2
2022	1

Journals#

Journals whose papers link to fabMix (R package) most
Journal	Papers
Statistics and Computing	2
Computational Statistics & Data Analysis	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components Statistics and Computing, 2019
- On the identifiability of Bayesian factor analytic models Statistics and Computing, 2022 — cites the paper above

Papers linking to fabMix (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2022-02-27	On the identifiability of Bayesian factor analytic models	Statistics and Computing	Panagiotis Papastamoulis, Ioannis Ntzoufras	33	cites it
2019-06-19	Model-based clustering of censored data via mixtures of factor analyzers	Computational Statistics & Data Analysis	Wan‐Lun Wang, Luis M. Castro, Victor Hugo Lachos et al.	23	cites it
2019-08-27	Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components	Statistics and Computing	Panagiotis Papastamoulis	9	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). fabMix (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-fabmix

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