nleqslv (R package): papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to nleqslv (R package) (https://CRAN.R-project.org/package=nleqslv), 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 nleqslv (R package) in their Crossref records, the first in 2017; most of them (2) in 2023.
- By category: Statistics (3); the journals with the most are Statistics and Computing (1), Statistical Papers (1) and Spatial Statistics (1).
By year#
20172023
| Year | Papers |
|---|---|
| 2017 | 1 |
| 2023 | 2 |
Journals#
| Journal | Papers |
|---|---|
| Statistics and Computing | 1 |
| Statistical Papers | 1 |
| Spatial Statistics | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2023-03-25 | Optimal subsampling design for polynomial regression in one covariate | Statistical Papers | Torsten Reuter, Rainer Schwabe | 9 | cites it |
| 2023-09-11 | Extreme value modeling with errors-in-variables in detection and attribution of changes in climate extremes | Statistics and Computing | Yuen Tsz Abby Lau, Tianying Wang, Jun Yan et al. | 2 | cites it |
| 2017-03-23 | Efficiently estimating some common geostatistical models by ‘energy–variance matching’ or its randomized ‘conditional–mean’ versions | Spatial Statistics | Didier Girard | 1 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). nleqslv (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-nleqslv
@misc{scholar4ai-code-cran-nleqslv,
author = {{Scholar4AI}},
title = {nleqslv (R package): papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/cran-nleqslv}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}