---
title: "ClusterR (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to ClusterR (R package) in their Crossref records, the first in 2019; most of them (1) in 2025."
url: https://scholar4ai.com/code/cran-clusterr
markdown_url: https://scholar4ai.com/code/cran-clusterr.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 ClusterR (R package) in their Crossref records, the first in 2019; most of them (1) in 2025. (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)
---

# ClusterR (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to ClusterR (R package) in their Crossref records, the first in 2019; most of them (1) in 2025.
- By category: AI (2) and Management (1); the journals with the most are IIMB Management Review (1), Neural Computing and Applications (1) and Pattern Recognition (1).

## By year

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

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2022 | 1 |
| 2025 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [IIMB Management Review](https://scholar4ai.com/journals/iimb-management-review.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-11-13 | [Finding compact and well-separated clusters: Clustering using silhouette coefficients](https://doi.org/10.1016/j.patcog.2022.109144) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Adil Bagirov, Ramiz M. Aliguliyev, Nargiz Sultanova | 233 | cites it |
| 2019-11-30 | [A Hierarchical Clustering algorithm based on Silhouette Index for cancer subtype discovery from genomic data](https://doi.org/10.1007/s00521-019-04636-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | N. Nidheesh, K. A. Abdul Nazeer, P. M. Ameer | 36 | cites it |
| 2025-02-16 | [Targeting audience personas with programmatic geographic segments using unsupervised methods](https://doi.org/10.1016/j.iimb.2025.100549) | [IIMB Management Review](https://scholar4ai.com/journals/iimb-management-review.md) | Viraj Noorithaya | 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). ClusterR (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-clusterr

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