rvinecopulib (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to rvinecopulib (R package) (https://CRAN.R-project.org/package=rvinecopulib), 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#

7 papers in the tracked journals link to rvinecopulib (R package) in their Crossref records, the first in 2019; most of them (2) in 2026.
By category: Statistics (7); the journals with the most are Computational Statistics & Data Analysis (2), Journal of Statistical Theory and Practice (1) and Japanese Journal of Statistics and Data Science (1).
3 of the papers build on one another: a later paper cites an earlier one that also links rvinecopulib (R package).

By year#

20192026

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

Journals#

Journals whose papers link to rvinecopulib (R package) most
Journal	Papers
Computational Statistics & Data Analysis	2
Journal of Statistical Theory and Practice	1
Japanese Journal of Statistics and Data Science	1
Journal of Multivariate Analysis	1
Computational Statistics	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.

Model selection in sparse high-dimensional vine copula models with an application to portfolio risk Journal of Multivariate Analysis, 2019
- Vine Copula based Portfolio Level Conditional Risk Measure Forecasting Econometrics and Statistics, 2023 — cites the paper above
- Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate Computational Statistics, 2025 — cites the paper above

Papers linking to rvinecopulib (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-03-18	Model selection in sparse high-dimensional vine copula models with an application to portfolio risk	Journal of Multivariate Analysis	Thomas Nagler, Christian Bumann, Claudia Czado	72	cites it
2019-07-18	Common sampling orders of regular vines with application to model selection	Computational Statistics & Data Analysis	Kailun Zhu, Dorota Kurowicka, Gabriela F. Nane	7	cites it
2023-08-21	Vine Copula based Portfolio Level Conditional Risk Measure Forecasting	Econometrics and Statistics	Emanuel Sommer, Karoline Bax, Claudia Czado	6	cites it
2025-01-20	Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	Computational Statistics	Alejandro Román Vásquez, José Ulises Márquez Urbina, Graciela González-Farı́as et al.	1	cites it
2025-12-11	On multivariate binary outcomes copulas-regression problem	Japanese Journal of Statistics and Data Science	Youssef Handi, Karim Oualkacha, Mhamed Mesfioui	1	cites it
2026-03-24	Optimising covariate allocation at design stage using fisher information matrix for non-linear mixed effects models in pharmacometrics	Computational Statistics & Data Analysis	Lucie Fayette, Karl Brendel, France Mentré	0	cites it
2026-04-28	Inference Based on Copulas for Quantile and Expectile for Binary Regression	Journal of Statistical Theory and Practice	Youssef Handi, Karim Oualkacha, Mhamed Mesfioui	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). rvinecopulib (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-rvinecopulib

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

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