---
title: "diptest (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to diptest (R package) in their Crossref records, the first in 2017; most of them (1) in 2019."
url: https://scholar4ai.com/code/cran-diptest
markdown_url: https://scholar4ai.com/code/cran-diptest.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 diptest (R package) in their Crossref records, the first in 2017; most of them (1) 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)
---

# diptest (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to diptest (R package) in their Crossref records, the first in 2017; most of them (1) in 2019.
- By category: Operations Research (2) and AI (1); the journals with the most are European Journal of Operational Research (1), Journal of Heuristics (1) and Pattern Recognition (1).

## By year

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

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2018 | 1 |
| 2019 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 1 |
| [Journal of Heuristics](https://scholar4ai.com/journals/journal-of-heuristics.md) | 1 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2018-10-25 | [To cluster, or not to cluster: An analysis of clusterability methods](https://doi.org/10.1016/j.patcog.2018.10.026) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Andreas Adolfsson, Margareta Ackerman, Naomi C. Brownstein | 271 | cites it |
| 2017-05-29 | [Mapping the global structure of TSP fitness landscapes](https://doi.org/10.1007/s10732-017-9334-0) | [Journal of Heuristics](https://scholar4ai.com/journals/journal-of-heuristics.md) | Gabriela Ochoa, Nadarajen Veerapen | 70 | cites it |
| 2019-11-21 | [A distributionally robust optimization approach for outpatient colonoscopy scheduling](https://doi.org/10.1016/j.ejor.2019.11.039) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Karmel S. Shehadeh, Amy E. M. Cohn, Ruiwei Jiang | 53 | 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). diptest (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-diptest

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