---
title: "copula (R package): papers citing this CRAN package"
description: "20 papers in the tracked journals link to copula (R package) in their Crossref records, the first in 2016; most of them (4) in 2020."
url: https://scholar4ai.com/code/cran-copula
markdown_url: https://scholar4ai.com/code/cran-copula.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "20 papers in the tracked journals link to copula (R package) in their Crossref records, the first in 2016; most of them (4) in 2020. (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)
---

# copula (R package): papers linking to it

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

All repositories: https://scholar4ai.com/code.md

## Key findings

- 20 papers in the tracked journals link to copula (R package) in their Crossref records, the first in 2016; most of them (4) in 2020.
- By category: Statistics (16), Economics (2) and Finance (1); the journals with the most are Statistics and Computing (3), Journal of Multivariate Analysis (3) and Computational Statistics (3).
- 4 of the papers build on one another: a later paper cites an earlier one that also links copula (R package).

## By year

*Papers linking to copula (R package) by publication year*

| Year | Papers |
|---|---:|
| 2016 | 1 |
| 2017 | 4 |
| 2018 | 2 |
| 2019 | 1 |
| 2020 | 4 |
| 2022 | 2 |
| 2023 | 3 |
| 2024 | 1 |
| 2025 | 2 |

## Journals

*Journals whose papers link to copula (R package) most*

| Journal | Papers |
|---|---:|
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 3 |
| [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | 3 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 3 |
| [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | 2 |
| [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | 2 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Testing the Gaussian and Student's t copulas in a risk management framework](https://doi.org/10.1016/j.econmod.2016.12.014) (Economic Modelling, 2017)
  - [Copula shrinkage and portfolio allocation in ultra-high dimensions](https://doi.org/10.1016/j.jedc.2022.104508) (Journal of Economic Dynamics and Control, 2022) — cites the paper above
- [On tests for symmetry and radial symmetry of bivariate copulas towards testing for ellipticity](https://doi.org/10.1007/s00180-020-00994-0) (Computational Statistics, 2020)
  - [Testing symmetry for bivariate copulas using Bernstein polynomials](https://doi.org/10.1007/s11222-023-10297-1) (Statistics and Computing, 2023) — cites the paper above

## Papers

*Papers linking to copula (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2016-12-01 | [The empirical beta copula](https://doi.org/10.1016/j.jmva.2016.11.010) | [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | Johan Segers, Masaaki Sibuya, Hideatsu Tsukahara | 76 | cites it |
| 2017-11-01 | [Compound unimodal distributions for insurance losses](https://doi.org/10.1016/j.insmatheco.2017.10.007) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | Antonio Punzo, Luca Bagnato, Antonello Maruotti | 73 | cites it |
| 2017-01-05 | [Testing the Gaussian and Student's t copulas in a risk management framework](https://doi.org/10.1016/j.econmod.2016.12.014) | [Economic Modelling](https://scholar4ai.com/journals/economic-modelling.md) | Alexandre Lourme, Frantz Maurer | 25 | cites it |
| 2020-06-25 | [Generalised joint regression for count data: a penalty extension for competitive settings](https://doi.org/10.1007/s11222-020-09953-7) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Hendrik van der Wurp, Andreas Groll, Thomas Kneib et al. | 18 | cites it |
| 2017-02-23 | [Some copula inference procedures adapted to the presence of ties](https://doi.org/10.1016/j.csda.2017.02.006) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Ivan Kojadinovic A | 17 | cites it |
| 2018-05-16 | [Hierarchical Archimax copulas](https://doi.org/10.1016/j.jmva.2018.05.001) | [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | Marius Hofert, Raphaël Huser, Avinash Prasad | 14 | cites it |
| 2020-05-09 | [On tests for symmetry and radial symmetry of bivariate copulas towards testing for ellipticity](https://doi.org/10.1007/s00180-020-00994-0) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Miriam Jaser, Aleksey Min | 12 | cites it |
| 2020-01-03 | [Goodness-of-fit test of copula functions for semi-parametric univariate time series models](https://doi.org/10.1007/s00362-019-01153-4) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Shulin Zhang, Qian M. Zhou, Huazhen Lin | 10 | cites it |
| 2018-06-05 | [Simulation and evaluation of the distribution of interest rate risk](https://doi.org/10.1007/s10287-018-0319-8) | [Computational Management Science](https://scholar4ai.com/journals/computational-management-science.md) | Johan Hagenbjörk, Jörgen Blomvall | 9 | cites it |
| 2022-05-13 | [Estimation in copula models with two-piece skewed margins using the inference for margins method](https://doi.org/10.1016/j.ecosta.2022.05.002) | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | Jonas Baillien, Irène Gijbels, Anneleen Verhasselt | 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 |
| 2022-08-10 | [Copula shrinkage and portfolio allocation in ultra-high dimensions](https://doi.org/10.1016/j.jedc.2022.104508) | [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | Stanislav Anatolyev, Пырлик Владимир Николаевич | 6 | cites it |
| 2017-04-26 | [Smooth copula-based estimation of the conditional density function with a single covariate](https://doi.org/10.1016/j.jmva.2017.04.008) | [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | Paul Janssen, Jan W. H. Swanepoel, Noël Veraverbeke | 5 | cites it |
| 2019-09-03 | [Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete paired data](https://doi.org/10.1007/s00184-019-00742-5) | [Metrika](https://scholar4ai.com/journals/metrika.md) | Daniel Gaigall | 5 | cites it |
| 2023-09-28 | [Testing symmetry for bivariate copulas using Bernstein polynomials](https://doi.org/10.1007/s11222-023-10297-1) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Guanjie Lyu, Mohamed Belalia | 4 | cites it |
| 2023-01-20 | [Moment-based density estimation of confidential micro-data: a computational statistics approach](https://doi.org/10.1007/s11222-022-10203-1) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Bradley Wakefield, Yan‐Xia Lin, Rathindra Sarathy et al. | 2 | cites it |
| 2023-03-29 | [A novel copula-based approach for parametric estimation of univariate time series through its covariance decay](https://doi.org/10.1007/s00362-023-01418-z) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Guilherme Pumi A, Taiane Schaedler Prass, Sílvia R. C. Lopes | 2 | cites it |
| 2025-01-16 | [Independence tests based on the shape of the Standard Young Tableau](https://doi.org/10.1007/s00180-024-01597-9) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Jesús Enrique García, Verónica Andrea González-López, María Magdalena Kcala Álvaro | 1 | cites it |
| 2024-03-26 | [U-statistics Based Tests for Marginal Hazard Rate Orderings of Two Dependent Variables](https://doi.org/10.1007/s42519-024-00372-9) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Leena Kulkarni, Sangita Kulathinal, Isha Dewan | 0 | cites it |
| 2025-12-29 | [Fast inference in copula models with categorical explanatory variables using the one-step procedure](https://doi.org/10.1007/s00180-025-01692-5) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Alexandre Brouste‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌, Christophe Dutang, Lilit Hovsepyan 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). copula (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-copula

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