---
title: "BibPlots (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to BibPlots (R package) in their Crossref records, the first in 2022; most of them (2) in 2024."
url: https://scholar4ai.com/code/cran-bibplots
markdown_url: https://scholar4ai.com/code/cran-bibplots.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 BibPlots (R package) in their Crossref records, the first in 2022; most of them (2) 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)
---

# BibPlots (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to BibPlots (R package) in their Crossref records, the first in 2022; most of them (2) in 2024.
- By category: Higher Education and Research (3); the journals with the most are Scientometrics (3).

## By year

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

| Year | Papers |
|---|---:|
| 2022 | 1 |
| 2024 | 2 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 3 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-04-27 | [Reference publication year spectroscopy (RPYS) in practice: a software tutorial](https://doi.org/10.1007/s11192-022-04369-8) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Robin Haunschild, Lutz Bornmann | 19 | cites it |
| 2024-05-02 | [Using Reference Publication Year Spectroscopy (RPYS) to analyze the research and publication culture in immunology](https://doi.org/10.1007/s11192-024-05001-7) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | K. Brad Wray, Søren R. Paludan, Lutz Bornmann et al. | 6 | cites it |
| 2024-01-13 | [How can revivals of scientific publications be explained using bibliometric methods? A case study discovering booster papers for the 1985 Physics Nobel Prize paper](https://doi.org/10.1007/s11192-023-04906-z) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Robin Haunschild, Werner Marx, J. Weis | 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). BibPlots (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-bibplots

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