---
title: "MomTrunc (R package): papers citing this CRAN package"
description: "4 papers in the tracked journals link to MomTrunc (R package) in their Crossref records, the first in 2021; most of them (2) in 2021."
url: https://scholar4ai.com/code/cran-momtrunc
markdown_url: https://scholar4ai.com/code/cran-momtrunc.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 MomTrunc (R package) in their Crossref records, the first in 2021; most of them (2) in 2021. (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)
---

# MomTrunc (R package): papers linking to it

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

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

## Key findings

- 4 papers in the tracked journals link to MomTrunc (R package) in their Crossref records, the first in 2021; most of them (2) in 2021.
- By category: Statistics (4); the journals with the most are Statistical Papers (2), Statistics and Computing (1) and Metrika (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links MomTrunc (R package).

## By year

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

| Year | Papers |
|---|---:|
| 2021 | 2 |
| 2022 | 1 |
| 2025 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | 2 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Metrika](https://scholar4ai.com/journals/metrika.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [On moments of folded and truncated multivariate Student-t distributions based on recurrence relations](https://doi.org/10.1007/s00184-020-00802-1) (Metrika, 2021)
  - [A robust factor analysis model based on the canonical fundamental skew-t distribution](https://doi.org/10.1007/s00362-022-01318-8) (Statistical Papers, 2022) — cites the paper above

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-01-19 | [On moments of folded and truncated multivariate Student-t distributions based on recurrence relations](https://doi.org/10.1007/s00184-020-00802-1) | [Metrika](https://scholar4ai.com/journals/metrika.md) | Christian E. Galarza, Tsung‐I Lin, Wan‐Lun Wang et al. | 16 | cites it |
| 2021-07-05 | [Some properties of the unified skew-normal distribution](https://doi.org/10.1007/s00362-021-01235-2) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Reinaldo Boris Arellano-Valle, Adelchi Azzalini | 13 | cites it |
| 2025-01-28 | [An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data](https://doi.org/10.1007/s11222-025-10575-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Victor Hugo Lachos, Salvatore D. Tomarchio, Antonio Punzo et al. | 6 | cites it |
| 2022-05-29 | [A robust factor analysis model based on the canonical fundamental skew-t distribution](https://doi.org/10.1007/s00362-022-01318-8) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Tsung‐I Lin, I-An Chen, Wan‐Lun Wang | 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). MomTrunc (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-momtrunc

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