---
title: "numDeriv (R package): papers citing this CRAN package"
description: "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."
url: https://scholar4ai.com/code/cran-numderiv
markdown_url: https://scholar4ai.com/code/cran-numderiv.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

# numDeriv (R package): papers linking to it

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.

- CRAN
- https://CRAN.R-project.org/package=numDeriv

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

## 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

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

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 1 |
| 2022 | 1 |
| 2023 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | 1 |
| [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | 1 |
| [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | 1 |
| [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 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 |
| 2019-04-15 | [Location-adjusted Wald statistics for scalar parameters](https://doi.org/10.1016/j.csda.2019.04.004) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Claudia Di Caterina, Ioannis Kosmidis | 3 | cites it |
| 2023-03-01 | [European and Asian Greeks for Exponential Lévy Processes](https://doi.org/10.1007/s11009-023-10014-5) | [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | Anselm Hudde, Ludger Rüschendorf | 2 | cites it |
| 2022-04-05 | [A Bivariate Regression-Based Cost-Effectiveness Analysis](https://doi.org/10.1007/s42519-022-00255-x) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Aryana Arsham, Ionut Bebu, Thomas Mathew | 1 | 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). numDeriv (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-numderiv

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).