---
title: "quanteda (R package): papers citing this CRAN package"
description: "6 papers in the tracked journals link to quanteda (R package) in their Crossref records, the first in 2016; most of them (2) in 2019."
url: https://scholar4ai.com/code/cran-quanteda
markdown_url: https://scholar4ai.com/code/cran-quanteda.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "6 papers in the tracked journals link to quanteda (R package) in their Crossref records, the first in 2016; 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)
---

# quanteda (R package): papers linking to it

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

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

## Key findings

- 6 papers in the tracked journals link to quanteda (R package) in their Crossref records, the first in 2016; most of them (2) in 2019.
- By category: AI (2), Higher Education and Research (2) and Economics (1); the journals with the most are Economics of Education Review (1), The Journal of Technology Transfer (1) and Journal Of Big Data (1).

## By year

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

| Year | Papers |
|---|---:|
| 2016 | 1 |
| 2017 | 1 |
| 2019 | 2 |
| 2022 | 1 |
| 2026 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Economics of Education Review](https://scholar4ai.com/journals/economics-of-education-review.md) | 1 |
| [The Journal of Technology Transfer](https://scholar4ai.com/journals/the-journal-of-technology-transfer.md) | 1 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 1 |
| [Journal of Computing in Higher Education](https://scholar4ai.com/journals/journal-of-computing-in-higher-education.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-03-01 | [The STEM requirements of “Non-STEM” jobs: Evidence from UK online vacancy postings](https://doi.org/10.1016/j.econedurev.2019.02.005) | [Economics of Education Review](https://scholar4ai.com/journals/economics-of-education-review.md) | Inna Grinis | 43 | cites it |
| 2016-11-15 | [Understanding big data themes from scientific biomedical literature through topic modeling](https://doi.org/10.1186/s40537-016-0057-0) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Allard J. van Altena, Perry D. Moerland, Aeilko Having Zwinderman et al. | 39 | cites it |
| 2022-04-28 | [Adjusting sails for changing winds: exploring Reddit use for professional purposes in higher education](https://doi.org/10.1007/s12528-022-09317-2) | [Journal of Computing in Higher Education](https://scholar4ai.com/journals/journal-of-computing-in-higher-education.md) | Pauline Salim Muljana, K. Bret Staudt Willet, Tian Luo | 15 | cites it |
| 2019-04-08 | [Beyond lexical frequencies: using R for text analysis in the digital humanities](https://doi.org/10.1007/s10579-019-09456-6) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Taylor Arnold, Nicolas Ballier, Paula Lissón et al. | 10 | cites it |
| 2017-04-01 | [Experimental evaluation of parameter settings in calculation of hybrid similarities: effects of first- and second-order similarity, edge cutting, and weighting factors](https://doi.org/10.1007/s11192-017-2366-2) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Fabian Meyer-Brötz, Edgar Schiebel, Leo Brecht | 9 | cites it |
| 2026-06-25 | [What we talk about when we talk about science commercialization: a framing perspective from a German University](https://doi.org/10.1007/s10961-026-10357-4) | [The Journal of Technology Transfer](https://scholar4ai.com/journals/the-journal-of-technology-transfer.md) | Mia-Celine Zsohar, Andreas Wahl, Ferran Giones | 1 | 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). quanteda (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-quanteda

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