---
title: "ggforce (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to ggforce (R package) in their Crossref records, the first in 2021; most of them (1) in 2026."
url: https://scholar4ai.com/code/cran-ggforce
markdown_url: https://scholar4ai.com/code/cran-ggforce.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to ggforce (R package) in their Crossref records, the first in 2021; 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)
---

# ggforce (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to ggforce (R package) in their Crossref records, the first in 2021; most of them (1) in 2026.
- By category: Higher Education and Research (2) and Statistics (1); the journals with the most are Computational Statistics (1), Scientometrics (1) and Higher Education (1).

## By year

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

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2023 | 1 |
| 2026 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 1 |
| [Higher Education](https://scholar4ai.com/journals/higher-education.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-01-18 | [Lights, camera, active! appreciation of active learning predicts positive attitudes towards lecture capture](https://doi.org/10.1007/s10734-020-00674-4) | [Higher Education](https://scholar4ai.com/journals/higher-education.md) | Emily Nordmann, Anne Clark, Elliott Spaeth et al. | 17 | cites it |
| 2023-03-30 | [Let’s talk about the weather: a cluster-based approach to weather forecast accuracy](https://doi.org/10.1007/s00180-023-01339-3) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Jill F. Lundell, Brennan Bean, Jürgen Symanzik | 4 | cites it |
| 2026-06-12 | [Mapping national and institutional research that targets Sustainable Development Goals using OpenAlex data](https://doi.org/10.1007/s11192-026-05680-4) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Robin Haunschild, Lutz Bornmann | 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). ggforce (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-ggforce

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