dirichletprocess (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to dirichletprocess (R package) (https://CRAN.R-project.org/package=dirichletprocess), 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 dirichletprocess (R package) in their Crossref records, the first in 2025; most of them (2) in 2026.
By category: Statistics (2) and AI (1); the journals with the most are Statistics and Computing (1), Statistical Papers (1) and Data Mining and Knowledge Discovery (1).

By year#

20252026

Papers linking to dirichletprocess (R package) by publication year
Year	Papers
2025	1
2026	2

Journals#

Journals whose papers link to dirichletprocess (R package) most
Journal	Papers
Statistics and Computing	1
Statistical Papers	1
Data Mining and Knowledge Discovery	1

Papers linking to dirichletprocess (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2025-01-01	Nonparametric Bayesian inferences on the skewed data using a Dirichlet process mixture model	Statistical Papers	Amin Ghalamfarsa Mostofi, Mahmood Kharrati‐Kopaei	3	cites it
2026-03-15	Lower-dimensional posterior density and cluster summaries for overparameterized Bayesian models	Statistics and Computing	Henrique Bolfarine, Hedibert F. Lopes, Carlos M. Carvalho	0	cites it
2026-07-15	A clustering framework for skewed features with low true cluster separation	Data Mining and Knowledge Discovery	Muntazir Mehdi, Haydar Demirhan, Sona Taheri	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). dirichletprocess (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-dirichletprocess

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

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