tidygraph (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

4 papers in the tracked journals link to tidygraph (R package) in their Crossref records, the first in 2020; most of them (3) in 2025.
By category: AI (1), Economics (1) and Marketing (1); the journals with the most are Expert Systems with Applications (1), Small Business Economics (1) and Journal of Marketing Analytics (1).

By year#

20202025

Papers linking to tidygraph (R package) by publication year
Year	Papers
2020	1
2025	3

Journals#

Journals whose papers link to tidygraph (R package) most
Journal	Papers
Expert Systems with Applications	1
Small Business Economics	1
Journal of Marketing Analytics	1
Innovative Higher Education	1

Papers linking to tidygraph (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-06-29	Emerging technologies and industrial leadership. A Wikipedia-based strategic analysis of Industry 4.0	Expert Systems with Applications	Andrea J. Bonaccorsi, Filippo Chiarello, Gualtiero Fantoni et al.	34	cites it
2025-03-28	No islands of entrepreneurship—mapping the trans-local dimension of entrepreneurial ecosystems through networks of accelerator participation	Small Business Economics	Andreas Kuebart, Érica Santini, Valentina Forrer	8	cites it
2025-01-11	Mapping consumer behavior: store location effects on retail sales across different basket types	Journal of Marketing Analytics	Ondřej Sokol, Tomáš Formánek	2	cites it
2025-09-26	Minority-Serving Institutions’ Role in Enhancing Access to Computing Doctoral Education: A Multi-Method Landscape Analysis	Innovative Higher Education	Annie M. Wofford, Anum Fatima, Xinting Wu et al.	2	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). tidygraph (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-tidygraph

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).