---
title: "devtools (R package): papers citing this CRAN package"
description: "4 papers in the tracked journals link to devtools (R package) in their Crossref records, the first in 2020; most of them (2) in 2025."
url: https://scholar4ai.com/code/cran-devtools
markdown_url: https://scholar4ai.com/code/cran-devtools.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to devtools (R package) in their Crossref records, the first in 2020; most of them (2) 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)
---

# devtools (R package): papers linking to it

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

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

## Key findings

- 4 papers in the tracked journals link to devtools (R package) in their Crossref records, the first in 2020; most of them (2) in 2025.
- By category: AI (3) and Finance (1); the journals with the most are Neural Computing and Applications (1), Journal of Banking & Finance (1) and Neural Networks (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links devtools (R package).

## By year

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

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2022 | 1 |
| 2025 | 2 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Journal of Banking & Finance](https://scholar4ai.com/journals/journal-of-banking-finance.md) | 1 |
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Deep Huber quantile regression networks](https://doi.org/10.1016/j.neunet.2025.107364) (Neural Networks, 2025)
  - [Variable transformations in consistent loss functions](https://doi.org/10.1016/j.knosys.2025.115202) (Knowledge-Based Systems, 2025) — cites the paper above

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-07-06 | [Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms](https://doi.org/10.1007/s00521-020-05172-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis | 177 | cites it |
| 2022-04-12 | [Insider trading regulation and shorting constraints. Evaluating the joint effects of two market interventions.](https://doi.org/10.1016/j.jbankfin.2022.106490) | [Journal of Banking & Finance](https://scholar4ai.com/journals/journal-of-banking-finance.md) | Robert Merl, Thomas Stöckl, Stefan Palan | 10 | cites it |
| 2025-03-05 | [Deep Huber quantile regression networks](https://doi.org/10.1016/j.neunet.2025.107364) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Hristos Tyralis, Georgia Papacharalampous, Nilay Doğulu et al. | 7 | cites it |
| 2025-12-23 | [Variable transformations in consistent loss functions](https://doi.org/10.1016/j.knosys.2025.115202) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Hristos Tyralis, Georgia Papacharalampous | 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). devtools (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-devtools

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