---
title: "OptimalDesign (R package): papers citing this CRAN package"
description: "7 papers in the tracked journals link to OptimalDesign (R package) in their Crossref records, the first in 2018; most of them (2) in 2026."
url: https://scholar4ai.com/code/cran-optimaldesign
markdown_url: https://scholar4ai.com/code/cran-optimaldesign.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "7 papers in the tracked journals link to OptimalDesign (R package) in their Crossref records, the first in 2018; most of them (2) 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)
---

# OptimalDesign (R package): papers linking to it

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

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

## Key findings

- 7 papers in the tracked journals link to OptimalDesign (R package) in their Crossref records, the first in 2018; most of them (2) in 2026.
- By category: Statistics (7); the journals with the most are Statistical Papers (3), Statistics & Probability Letters (1) and Statistics and Computing (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links OptimalDesign (R package).

## By year

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

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2019 | 1 |
| 2020 | 1 |
| 2023 | 1 |
| 2025 | 1 |
| 2026 | 2 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | 3 |
| [Statistics & Probability Letters](https://scholar4ai.com/journals/statistics-probability-letters.md) | 1 |
| [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 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Ascent with quadratic assistance for the construction of exact experimental designs](https://doi.org/10.1007/s00180-020-00961-9) (Computational Statistics, 2020)
  - [Removal of redundant candidate points for the exact D-optimal design problem](https://doi.org/10.1007/s11222-025-10819-z) (Statistics and Computing, 2026) — cites the paper above

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2018-02-09 | [Computing optimal experimental designs with respect to a compound Bayes risk criterion](https://doi.org/10.1016/j.spl.2018.01.017) | [Statistics & Probability Letters](https://scholar4ai.com/journals/statistics-probability-letters.md) | Radoslav Harman, Maryna Prus | 16 | cites it |
| 2020-02-04 | [Ascent with quadratic assistance for the construction of exact experimental designs](https://doi.org/10.1007/s00180-020-00961-9) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Lenka Filová, Radoslav Harman | 9 | cites it |
| 2023-04-27 | [Accounting for outliers in optimal subsampling methods](https://doi.org/10.1007/s00362-023-01422-3) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Laura Deldossi, Elena Pesce, Chiara Tommasi | 4 | cites it |
| 2019-01-02 | [Approximate and exact optimal designs for $$2^k$$ factorial experiments for generalized linear models via second order cone programming](https://doi.org/10.1007/s00362-018-01075-7) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Belmiro P.M. Duarte, Guillaume Sagnol | 2 | cites it |
| 2025-12-29 | [Efficient subsampling for exponential family models](https://doi.org/10.1016/j.csda.2025.108336) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Subhadra Dasgupta, Holger Dette | 0 | cites it |
| 2026-01-05 | [Removal of redundant candidate points for the exact D-optimal design problem](https://doi.org/10.1007/s11222-025-10819-z) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Radoslav Harman, Samuel Rosa | 0 | cites it |
| 2026-04-11 | [Cor: an R package for optimal subset selection in distributed estimation](https://doi.org/10.1007/s00362-026-01830-1) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Di Chang, Guangbao Guo, Lixing Zhu | 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). OptimalDesign (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-optimaldesign

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