---
title: "robust (R package): papers citing this CRAN package"
description: "4 papers in the tracked journals link to robust (R package) in their Crossref records, the first in 2016; most of them (1) in 2026."
url: https://scholar4ai.com/code/cran-robust
markdown_url: https://scholar4ai.com/code/cran-robust.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 robust (R package) in their Crossref records, the first in 2016; 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)
---

# robust (R package): papers linking to it

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

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

## Key findings

- 4 papers in the tracked journals link to robust (R package) in their Crossref records, the first in 2016; most of them (1) in 2026.
- By category: Statistics (4); the journals with the most are Statistics and Computing (1), Computational Statistics & Data Analysis (1) and Computational Statistics (1).

## By year

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

| Year | Papers |
|---|---:|
| 2016 | 1 |
| 2019 | 1 |
| 2023 | 1 |
| 2026 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-01-04 | [Initial robust estimation in generalized linear models](https://doi.org/10.1016/j.csda.2018.12.010) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Claudio Agostinelli, Marina Valdora, Vı́ctor J. Yohai | 4 | cites it |
| 2023-06-02 | [Robust logistic regression for ordered and unordered responses](https://doi.org/10.1016/j.ecosta.2023.05.004) | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | Maria Iannario, Anna Clara Monti | 4 | cites it |
| 2016-10-17 | [Fast and robust estimators of variance components in the nested error model](https://doi.org/10.1007/s11222-016-9710-x) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Betsabé Pérez Garrido, Isabel Molina, Anita Monika Thieler et al. | 0 | cites it |
| 2026-04-16 | [Area-based epigraph and hypograph indices for functional outlier detection](https://doi.org/10.1007/s00180-026-01731-9) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Belén Pulido, Alba M. Franco‐Pereira, Rosa Elvira Lillo et al. | 0 | 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). robust (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-robust

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