quanteda (R package): papers linking to it

CRAN · CRAN.R-project.org/package=quanteda

← Code and data repositories cited in research papers

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.

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#

20162026

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	1
The Journal of Technology Transfer	1
Journal Of Big Data	1
Scientometrics	1
Journal of Computing in Higher Education	1

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	Economics of Education Review	Inna Grinis	43	cites it
2016-11-15	Understanding big data themes from scientific biomedical literature through topic modeling	Journal Of Big Data	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	Journal of Computing in Higher Education	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	Language Resources and Evaluation	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	Scientometrics	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	The Journal of Technology Transfer	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

@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}
}

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