---
title: "arules (R package): papers citing this CRAN package"
description: "5 papers in the tracked journals link to arules (R package) in their Crossref records, the first in 2018; most of them (2) in 2019."
url: https://scholar4ai.com/code/cran-arules
markdown_url: https://scholar4ai.com/code/cran-arules.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to arules (R package) in their Crossref records, the first in 2018; most of them (2) in 2019. (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)
---

# arules (R package): papers linking to it

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

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

## Key findings

- 5 papers in the tracked journals link to arules (R package) in their Crossref records, the first in 2018; most of them (2) in 2019.
- By category: AI (3) and Operations Research (2); the journals with the most are European Journal of Operational Research (1), Transportation Research Part A Policy and Practice (1) and Knowledge and Information Systems (1).

## By year

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

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

## Journals

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

| Journal | Papers |
|---|---:|
| [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 1 |
| [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |
| [International Journal of Approximate Reasoning](https://scholar4ai.com/journals/international-journal-of-approximate-reasoning.md) | 1 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-06-06 | [Evaluating multi-label classifiers and recommender systems in the financial service sector](https://doi.org/10.1016/j.ejor.2019.05.037) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Matthias Bogaert, Justine Lootens, Dirk Van den Poel et al. | 55 | cites it |
| 2018-05-18 | [Expert deduction rules in data mining with association rules: a case study](https://doi.org/10.1007/s10115-018-1206-x) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Jan Rauch | 19 | cites it |
| 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 |
| 2025-11-28 | [Fuzzy rules with quantifiers as weights](https://doi.org/10.1016/j.ijar.2025.109600) | [International Journal of Approximate Reasoning](https://scholar4ai.com/journals/international-journal-of-approximate-reasoning.md) | Martina Daňková, Dana Hliněná | 1 | cites it |
| 2026-01-10 | [Determinants of battery electric vehicle adoption concerns: insights from commercial fleet owners](https://doi.org/10.1016/j.tra.2026.104874) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Reuben Tamakloe, Livingstone Divine Caesar, Inhi Kim | 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). arules (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-arules

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