---
title: "sqldf (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to sqldf (R package) in their Crossref records, the first in 2019; most of them (1) in 2022."
url: https://scholar4ai.com/code/cran-sqldf
markdown_url: https://scholar4ai.com/code/cran-sqldf.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 sqldf (R package) in their Crossref records, the first in 2019; most of them (1) 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)
---

# sqldf (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to sqldf (R package) in their Crossref records, the first in 2019; most of them (1) in 2022.
- By category: Higher Education and Research (1), Statistics (1) and AI (1); the journals with the most are Scientometrics (1), Computational Statistics (1) and Journal Of Big Data (1).

## By year

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

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2021 | 1 |
| 2022 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-05-13 | [Detecting taxi movements using Random Swap clustering and sequential pattern mining](https://doi.org/10.1186/s40537-019-0203-6) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Rami Ibrahim, M. Omair Shafiq | 19 | cites it |
| 2021-02-28 | [A call for governments to pause Twitter censorship: using Twitter data as social-spatial sensors of COVID-19/SARS-CoV-2 research diffusion](https://doi.org/10.1007/s11192-020-03843-5) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Vanash Patel, Robin Haunschild, Lutz Bornmann et al. | 11 | cites it |
| 2022-04-16 | [Results and student perspectives on a web-scraping assignment from Utah State University’s data technologies course to evaluate the African activity in the statistical computing community](https://doi.org/10.1007/s00180-022-01222-7) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | A. Sue Fleming, Joanna D. Coltrin, Jhonatan Medri et al. | 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). sqldf (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-sqldf

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