---
title: "stringr (R package): papers citing this CRAN package"
description: "5 papers in the tracked journals link to stringr (R package) in their Crossref records, the first in 2017; most of them (2) in 2020."
url: https://scholar4ai.com/code/cran-stringr
markdown_url: https://scholar4ai.com/code/cran-stringr.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 stringr (R package) in their Crossref records, the first in 2017; most of them (2) in 2020. (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)
---

# stringr (R package): papers linking to it

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

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

## Key findings

- 5 papers in the tracked journals link to stringr (R package) in their Crossref records, the first in 2017; most of them (2) in 2020.
- By category: Higher Education and Research (2), Management (1) and AI (1); the journals with the most are Scientometrics (2), Journal of International Business Studies (1) and Neural Computing and Applications (1).

## By year

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

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2020 | 2 |
| 2022 | 1 |
| 2023 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 2 |
| [Journal of International Business Studies](https://scholar4ai.com/journals/journal-of-international-business-studies.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Telematics and Informatics](https://scholar4ai.com/journals/telematics-and-informatics.md) | 1 |

## Papers

*Papers linking to stringr (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 |
| 2022-06-03 | [Digital platform attention and international sales: An attention-based view](https://doi.org/10.1057/s41267-022-00528-4) | [Journal of International Business Studies](https://scholar4ai.com/journals/journal-of-international-business-studies.md) | Jingyu Li, Yigang Pan, Yi Fei Yang et al. | 68 | cites it |
| 2017-10-12 | [Urban data and urban design: A data mining approach to architecture education](https://doi.org/10.1016/j.tele.2017.09.015) | [Telematics and Informatics](https://scholar4ai.com/journals/telematics-and-informatics.md) | Francesc Valls Dalmau, Ernesto Redondo Domínguez, David Fonseca et al. | 60 | cites it |
| 2023-11-17 | [Research assessment under debate: disentangling the interest around the DORA declaration on Twitter](https://doi.org/10.1007/s11192-023-04872-6) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Enrique Orduña‐Malea, Núria Bautista‐Puig | 6 | cites it |
| 2020-03-14 | [An exploration of gender gap using advanced data science tools: actuarial research community](https://doi.org/10.1007/s11192-020-03412-w) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Mengyu Yu, Mazie Krehbiel, Samantha Thompson et al. | 4 | 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). stringr (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-stringr

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