textstem (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

3 papers in the tracked journals link to textstem (R package) in their Crossref records, the first in 2021; most of them (1) in 2023.
By category: Economics (1), Management (1) and Information Systems (1); the journals with the most are European Economic Review (1), Technological Forecasting and Social Change (1) and International Journal of Information Management Data Insights (1).

By year#

20212023

Papers linking to textstem (R package) by publication year
Year	Papers
2021	1
2022	1
2023	1

Journals#

Journals whose papers link to textstem (R package) most
Journal	Papers
European Economic Review	1
Technological Forecasting and Social Change	1
International Journal of Information Management Data Insights	1

Papers linking to textstem (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-03-01	Temporal variability of emotions in social media posts	Technological Forecasting and Social Change	Christian Weismayer, Ulrich Gunter, İrem Önder	32	cites it
2022-03-17	The framing of health technologies on social media by major actors: Prominent health issues and COVID-related public concerns	International Journal of Information Management Data Insights	Maud Reveilhac, Arnaud Blanchard	32	cites it
2023-08-06	An Independent European Macroeconomics? A History of European Macroeconomics through the Lens of the European Economic Review	European Economic Review	Aurélien Goutsmedt, Alexandre Truc	21	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). textstem (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-textstem

@misc{scholar4ai-code-cran-textstem,
  author = {{Scholar4AI}},
  title = {textstem (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-textstem}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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