---
title: "moments (R package): papers citing this CRAN package"
description: "5 papers in the tracked journals link to moments (R package) in their Crossref records, the first in 2017; most of them (1) in 2026."
url: https://scholar4ai.com/code/cran-moments
markdown_url: https://scholar4ai.com/code/cran-moments.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to moments (R package) in their Crossref records, the first in 2017; most of them (1) in 2026. (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)
---

# moments (R package): papers linking to it

Research papers in the 480 tracked journals that link to moments (R package) (https://CRAN.R-project.org/package=moments), 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=moments

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

## Key findings

- 5 papers in the tracked journals link to moments (R package) in their Crossref records, the first in 2017; most of them (1) in 2026.
- By category: Operations Research (1), Economics (1) and Management (1); the journals with the most are Computers & Industrial Engineering (1), Journal of Quantitative Economics (1) and Journal of Open Innovation Technology Market and Complexity (1).

## By year

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

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2018 | 1 |
| 2019 | 1 |
| 2025 | 1 |
| 2026 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | 1 |
| [Journal of Quantitative Economics](https://scholar4ai.com/journals/journal-of-quantitative-economics.md) | 1 |
| [Journal of Open Innovation Technology Market and Complexity](https://scholar4ai.com/journals/journal-of-open-innovation-technology-market-and-complexity.md) | 1 |
| [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 1 |
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-11-21 | [On normalization and algorithm selection for unsupervised outlier detection](https://doi.org/10.1007/s10618-019-00661-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Sevvandi Kandanaarachchi, Mario Andrés Muñoz, Rob J. Hyndman et al. | 62 | cites it |
| 2026-05-11 | [Interpreting Dummy Variables in Semi-logarithmic Regression Models: Exact Distributional Results](https://doi.org/10.1007/s40953-026-00512-x) | [Journal of Quantitative Economics](https://scholar4ai.com/journals/journal-of-quantitative-economics.md) | David E. A. Giles | 56 | cites it |
| 2018-07-17 | [ICS for multivariate outlier detection with application to quality control](https://doi.org/10.1016/j.csda.2018.06.011) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Aurore Archimbaud, Klaus Nordhausen, Anne Ruiz‐Gazen | 41 | cites it |
| 2017-08-14 | [Use of control charts with regression analysis for autocorrelated data in the context of logistic financial budgeting](https://doi.org/10.1016/j.cie.2017.08.015) | [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | Jorge Iván Pérez Rave, Leandro Muñoz-Giraldo, Juan Carlos Correa | 5 | cites it |
| 2025-07-28 | [Machine learning-driven insights for business innovation: Analyzing financial performance in Vietnam’s emerging economy 2010–2024](https://doi.org/10.1016/j.joitmc.2025.100605) | [Journal of Open Innovation Technology Market and Complexity](https://scholar4ai.com/journals/journal-of-open-innovation-technology-market-and-complexity.md) | Phạm Trung Hiếu, Thi Hang, Doan Huynh Thu Hoai et al. | 2 | 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). moments (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-moments

```bibtex
@misc{scholar4ai-code-cran-moments,
  author = {{Scholar4AI}},
  title = {moments (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-moments}},
  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/).