numDeriv (R package): papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to numDeriv (R package) (https://CRAN.R-project.org/package=numDeriv), 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#
- 4 papers in the tracked journals link to numDeriv (R package) in their Crossref records, the first in 2019; most of them (1) in 2023.
- By category: Statistics (3) and Operations Research (1); the journals with the most are Statistical Papers (1), Journal of Statistical Theory and Practice (1) and Methodology And Computing In Applied Probability (1).
By year#
20192023
| Year | Papers |
|---|---|
| 2019 | 1 |
| 2020 | 1 |
| 2022 | 1 |
| 2023 | 1 |
Journals#
| Journal | Papers |
|---|---|
| Statistical Papers | 1 |
| Journal of Statistical Theory and Practice | 1 |
| Methodology And Computing In Applied Probability | 1 |
| Computational Statistics & Data Analysis | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2020-01-03 | Goodness-of-fit test of copula functions for semi-parametric univariate time series models | Statistical Papers | Shulin Zhang, Qian M. Zhou, Huazhen Lin | 10 | cites it |
| 2019-04-15 | Location-adjusted Wald statistics for scalar parameters | Computational Statistics & Data Analysis | Claudia Di Caterina, Ioannis Kosmidis | 3 | cites it |
| 2023-03-01 | European and Asian Greeks for Exponential Lévy Processes | Methodology And Computing In Applied Probability | Anselm Hudde, Ludger Rüschendorf | 2 | cites it |
| 2022-04-05 | A Bivariate Regression-Based Cost-Effectiveness Analysis | Journal of Statistical Theory and Practice | Aryana Arsham, Ionut Bebu, Thomas Mathew | 1 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). numDeriv (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-numderiv
@misc{scholar4ai-code-cran-numderiv,
author = {{Scholar4AI}},
title = {numDeriv (R package): papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/cran-numderiv}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}