--- title: "sn (R package): papers citing this CRAN package" description: "9 papers in the tracked journals link to sn (R package) in their Crossref records, the first in 2023; most of them (4) in 2025." url: https://scholar4ai.com/code/cran-sn markdown_url: https://scholar4ai.com/code/cran-sn.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "9 papers in the tracked journals link to sn (R package) in their Crossref records, the first in 2023; most of them (4) in 2025. (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) --- # sn (R package): papers linking to it Research papers in the 480 tracked journals that link to sn (R package) (https://CRAN.R-project.org/package=sn), 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=sn All repositories: https://scholar4ai.com/code.md ## Key findings - 9 papers in the tracked journals link to sn (R package) in their Crossref records, the first in 2023; most of them (4) in 2025. - By category: Statistics (8) and Economics (1); the journals with the most are Statistics and Computing (2), Journal of Statistical Theory and Practice (1) and Econometrics and Statistics (1). ## By year *Papers linking to sn (R package) by publication year* | Year | Papers | |---|---:| | 2023 | 3 | | 2024 | 1 | | 2025 | 4 | | 2026 | 1 | ## Journals *Journals whose papers link to sn (R package) most* | Journal | Papers | |---|---:| | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 2 | | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | 1 | | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | 1 | | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 | | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | 1 | ## Papers *Papers linking to sn (R package), most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2023-07-07 | [Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function](https://doi.org/10.1007/s11222-023-10260-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Maicon J. Karling, Marc G. Genton, Simos G. Meintanis | 10 | cites it | | 2024-06-01 | [Nonparametric Machine Learning for Stochastic Frontier Analysis: A Bayesian Additive Regression Tree Approach](https://doi.org/10.1016/j.ecosta.2024.06.002) | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | Zheng Wei, Huiyan Sang, Nene Coulibaly | 5 | cites it | | 2025-02-10 | [Fuzzy K-expectiles clustering](https://doi.org/10.1007/s11222-025-10566-1) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Pierpaolo D’Urso, Livia De Giovanni, Lorenzo Federico et al. | 3 | cites it | | 2023-05-02 | [An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model](https://doi.org/10.1007/s00180-023-01356-2) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Xiaonan Zhu, Zheng Mao Wei, Tonghui Wang et al. | 2 | cites it | | 2023-08-07 | [Bivariate distributions with equi-dispersed normal conditionals and related models](https://doi.org/10.1007/s00184-023-00921-5) | [Metrika](https://scholar4ai.com/journals/metrika.md) | Barry C. Arnold, B.G. Manjunath | 0 | cites it | | 2025-04-01 | [Nonparametric tests for serial independence in linear model against a possible autoregression of error terms](https://doi.org/10.1007/s00362-025-01689-8) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Jana Jurečková, Olçay Arslan, Yeşim Güney et al. | 0 | cites it | | 2025-12-07 | [A New Class of Multivariate Skew-Normal Distributions with Multimodal Features](https://doi.org/10.1007/s42519-025-00526-3) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | C. E. G. Otiniano, B. G. Silva, T. C. V. Rodrigues | 0 | cites it | | 2025-12-29 | [Efficient subsampling for exponential family models](https://doi.org/10.1016/j.csda.2025.108336) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Subhadra Dasgupta, Holger Dette | 0 | cites it | | 2026-01-19 | [PerRegMod: An R Package for Periodic Coefficients Linear Regression Models](https://doi.org/10.1007/s10614-026-11325-8) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Slimane Regui, Abdelhadi Akharif, Amal Mellouk | 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). sn (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-sn ```bibtex @misc{scholar4ai-code-cran-sn, author = {{Scholar4AI}}, title = {sn (R package): papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/cran-sn}}, 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/).