GenOrd (R package): papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to GenOrd (R package) (https://CRAN.R-project.org/package=GenOrd), 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 GenOrd (R package) in their Crossref records, the first in 2017; most of them (1) in 2025.
- By category: Statistics (3); the journals with the most are Journal of Statistical Theory and Practice (1), Computational Statistics & Data Analysis (1) and Computational Statistics (1).
By year#
20172025
| Year | Papers |
|---|---|
| 2017 | 1 |
| 2022 | 1 |
| 2025 | 1 |
Journals#
| Journal | Papers |
|---|---|
| Journal of Statistical Theory and Practice | 1 |
| Computational Statistics & Data Analysis | 1 |
| Computational Statistics | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2022-04-01 | Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations | Computational Statistics | Patrick Benjamin Langthaler, Riccardo Ceccato, Luigi Salmaso et al. | 12 | cites it |
| 2025-09-27 | Resampling NANCOVA: Nonparametric analysis of covariance in small samples | Computational Statistics & Data Analysis | Konstantin Emil Thiel, Paavo Sattler, Arne Cornelius Bathke et al. | 2 | cites it |
| 2017-02-08 | Estimating a multivariate model with discrete Weibull margins | Journal of Statistical Theory and Practice | Alessandro Barbiero | 0 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). GenOrd (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-genord
@misc{scholar4ai-code-cran-genord,
author = {{Scholar4AI}},
title = {GenOrd (R package): papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/cran-genord}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}