---
title: "trust (R package): papers citing this CRAN package"
description: "4 papers in the tracked journals link to trust (R package) in their Crossref records, the first in 2020; most of them (1) in 2024."
url: https://scholar4ai.com/code/cran-trust
markdown_url: https://scholar4ai.com/code/cran-trust.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 trust (R package) in their Crossref records, the first in 2020; most of them (1) in 2024. (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)
---

# trust (R package): papers linking to it

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

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

## Key findings

- 4 papers in the tracked journals link to trust (R package) in their Crossref records, the first in 2020; most of them (1) in 2024.
- By category: Statistics (4); the journals with the most are Statistics and Computing (3) and Lifetime Data Analysis (1).

## By year

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

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 1 |
| 2024 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 3 |
| [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-06-25 | [Generalised joint regression for count data: a penalty extension for competitive settings](https://doi.org/10.1007/s11222-020-09953-7) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Hendrik van der Wurp, Andreas Groll, Thomas Kneib et al. | 18 | cites it |
| 2021-01-01 | [Robust fitting for generalized additive models for location, scale and shape](https://doi.org/10.1007/s11222-020-09979-x) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | William H. Aeberhard, Eva Cantoni, Giampiero Marra et al. | 18 | cites it |
| 2022-10-01 | [Automatic differentiation of Box-Cox transformations with application to random effects models for continuous non-normal response](https://doi.org/10.1007/s11222-022-10160-9) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Alex Stringer | 2 | cites it |
| 2024-10-23 | [Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data](https://doi.org/10.1007/s10985-024-09640-z) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | Sakie J. Arachchige, Xinyuan Chen, Qian M. Zhou | 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). trust (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-trust

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