--- title: "VineCopula (R package): papers citing this CRAN package" description: "10 papers in the tracked journals link to VineCopula (R package) in their Crossref records, the first in 2017; most of them (4) in 2019." url: https://scholar4ai.com/code/cran-vinecopula markdown_url: https://scholar4ai.com/code/cran-vinecopula.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "10 papers in the tracked journals link to VineCopula (R package) in their Crossref records, the first in 2017; most of them (4) in 2019. (as of 2026-11-03)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-03T14:43:26+09:00 window: 2026-10-05 to 2026-11-03 source: OpenAlex (CC0) --- # VineCopula (R package): papers linking to it Research papers in the 480 tracked journals that link to VineCopula (R package) (https://CRAN.R-project.org/package=VineCopula), 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. - CRAN - https://CRAN.R-project.org/package=VineCopula All repositories: https://scholar4ai.com/code.md ## Key findings - 10 papers in the tracked journals link to VineCopula (R package) in their Crossref records, the first in 2017; most of them (4) in 2019. - By category: Statistics (4), Finance (3) and Information Systems (1); the journals with the most are The North American Journal of Economics and Finance (2), Computational Statistics & Data Analysis (2) and Insurance Mathematics and Economics (1). - 2 of the papers build on one another: a later paper cites an earlier one that also links VineCopula (R package). ## By year *Papers linking to VineCopula (R package) by publication year* | Year | Papers | |---|---:| | 2017 | 1 | | 2019 | 4 | | 2020 | 1 | | 2021 | 1 | | 2024 | 1 | | 2025 | 1 | | 2026 | 1 | ## Journals *Journals whose papers link to VineCopula (R package) most* | Journal | Papers | |---|---:| | [The North American Journal of Economics and Finance](https://scholar4ai.com/journals/the-north-american-journal-of-economics-and-finance.md) | 2 | | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2 | | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | 1 | | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | 1 | | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | 1 | ## Family tree Each paper sits under the earlier paper it builds on. - [Financial contagion across major stock markets: A study during crisis episodes](https://doi.org/10.1016/j.najef.2019.02.005) (The North American Journal of Economics and Finance, 2019) - [Contagion effects and risk transmission channels in the housing, stock, interest rate and currency markets: An Empirical Study in China and the U.S.](https://doi.org/10.1016/j.najef.2019.101113) (The North American Journal of Economics and Finance, 2019) — cites the paper above ## Papers *Papers linking to VineCopula (R package), most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2019-02-14 | [Financial contagion across major stock markets: A study during crisis episodes](https://doi.org/10.1016/j.najef.2019.02.005) | [The North American Journal of Economics and Finance](https://scholar4ai.com/journals/the-north-american-journal-of-economics-and-finance.md) | Imen BenMim, Ahmed BenSaïda | 48 | cites it | | 2021-03-10 | [Benchmarking Energy Quantification Methods to Predict Heating Energy Performance of Residential Buildings in Germany](https://doi.org/10.1007/s12599-021-00691-2) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | Simon Wenninger, Christian Wiethe | 47 | cites it | | 2019-11-16 | [Contagion effects and risk transmission channels in the housing, stock, interest rate and currency markets: An Empirical Study in China and the U.S.](https://doi.org/10.1016/j.najef.2019.101113) | [The North American Journal of Economics and Finance](https://scholar4ai.com/journals/the-north-american-journal-of-economics-and-finance.md) | Peiwan Wang, Lu Zong | 22 | cites it | | 2017-08-21 | [Vine copula based likelihood estimation of dependence patterns in multivariate event time data](https://doi.org/10.1016/j.csda.2017.07.010) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Nicole Barthel, Candida Geerdens, Matthias Killiches et al. | 20 | cites it | | 2019-08-20 | [Stratified random sampling for dependent inputs in Monte Carlo simulations from computer experiments](https://doi.org/10.1016/j.jspi.2019.08.001) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | Anirban Mondal, Abhijit Mandal | 16 | cites it | | 2024-02-06 | [Vine Copula Approach to Understand the Financial Dependence of the Istanbul Stock Exchange Index](https://doi.org/10.1007/s10614-023-10544-7) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Ozan Evkaya, İsmail Gür, Bükre Yıldırım Külekci et al. | 9 | cites it | | 2019-07-18 | [Common sampling orders of regular vines with application to model selection](https://doi.org/10.1016/j.csda.2019.106811) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Kailun Zhu, Dorota Kurowicka, Gabriela F. Nane | 7 | cites it | | 2020-11-26 | [Pair-copula Models for Analyzing Family Data](https://doi.org/10.1007/s42519-020-00146-z) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Yihao Deng, Narasinga Rao Chaganty | 6 | cites it | | 2025-07-15 | [Copulas to model non-monotonic dependency: an application on the relationship between temperature and mortality](https://doi.org/10.1007/s10479-025-06714-5) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Davide Biancalana, Fabio Baione, Manfred Marvin Marchione | 2 | cites it | | 2026-08-27 | [Bivariate non-monotone dependence modeling with copulas: An application to the volume-return relationship](https://doi.org/10.1016/j.insmatheco.2026.103292) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | Manfred Marvin Marchione, Fabio Baione | 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). VineCopula (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-vinecopula ```bibtex @misc{scholar4ai-code-cran-vinecopula, author = {{Scholar4AI}}, title = {VineCopula (R package): papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/cran-vinecopula}}, urldate = {2026-11-03}, note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).