---
title: "foreach (R package): papers citing this CRAN package"
description: "9 papers in the tracked journals link to foreach (R package) in their Crossref records, the first in 2019; most of them (4) in 2022."
url: https://scholar4ai.com/code/cran-foreach
markdown_url: https://scholar4ai.com/code/cran-foreach.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "9 papers in the tracked journals link to foreach (R package) in their Crossref records, the first in 2019; most of them (4) in 2022. (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)
---

# foreach (R package): papers linking to it

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

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

## Key findings

- 9 papers in the tracked journals link to foreach (R package) in their Crossref records, the first in 2019; most of them (4) in 2022.
- By category: Statistics (7), Finance (1) and Economics (1); the journals with the most are Statistics and Computing (3), Computational Statistics (3) and Financial Innovation (1).

## By year

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

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 2 |
| 2021 | 1 |
| 2022 | 4 |
| 2023 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 3 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 3 |
| [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 1 |
| [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 1 |
| [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-04-12 | [Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets](https://doi.org/10.1186/s40854-022-00338-5) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Štefan Lyócsa, Petra Vašaničová, Branka Hadji Misheva et al. | 45 | cites it |
| 2020-04-08 | [Optimal non-negative forecast reconciliation](https://doi.org/10.1007/s11222-020-09930-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Shanika L. Wickramasuriya, Berwin A. Turlach, Rob J. Hyndman | 36 | cites it |
| 2022-11-03 | [Feature selection algorithms in generalized additive models under concurvity](https://doi.org/10.1007/s00180-022-01292-7) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | László Kovács | 27 | cites it |
| 2019-08-27 | [Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components](https://doi.org/10.1007/s11222-019-09891-z) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Panagiotis Papastamoulis | 9 | cites it |
| 2022-01-25 | [Batch sequential adaptive designs for global optimization](https://doi.org/10.1007/s42952-022-00161-9) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | Yao Xiao, Jianhui Ning, Zikang Xiong et al. | 8 | cites it |
| 2023-05-18 | [A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models](https://doi.org/10.1007/s11222-023-10244-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Pete Philipson, Alan Huang | 8 | cites it |
| 2022-08-10 | [Copula shrinkage and portfolio allocation in ultra-high dimensions](https://doi.org/10.1016/j.jedc.2022.104508) | [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | Stanislav Anatolyev, Пырлик Владимир Николаевич | 6 | cites it |
| 2020-01-07 | [Parallel computing in linear mixed models](https://doi.org/10.1007/s00180-019-00950-7) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Fulya Gökalp Yavuz, Barret Schloerke | 3 | cites it |
| 2021-12-27 | [Markovchart: an R package for cost-optimal patient monitoring and treatment using control charts](https://doi.org/10.1007/s00180-021-01175-3) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Balázs Dobi, András Zempléni | 3 | 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). foreach (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-foreach

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