rvest (R package): papers linking to it

← Code and data repositories cited in research papers

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

5 papers in the tracked journals link to rvest (R package) in their Crossref records, the first in 2020; most of them (3) in 2020.
By category: Higher Education and Research (2), AI (2) and Operations Research (1); the journals with the most are Scientometrics (2), Expert Systems with Applications (2) and Computational Management Science (1).
2 of the papers build on one another: a later paper cites an earlier one that also links rvest (R package).

By year#

20202023

Papers linking to rvest (R package) by publication year
Year	Papers
2020	3
2022	1
2023	1

Journals#

Journals whose papers link to rvest (R package) most
Journal	Papers
Scientometrics	2
Expert Systems with Applications	2
Computational Management Science	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

An analytical system for evaluating academia units based on metrics provided by academic social network Expert Systems with Applications, 2020
- Academic social networks metrics: an effective indicator for university performance? Scientometrics, 2022 — cites the paper above

Papers linking to rvest (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
2022-01-27	Academic social networks metrics: an effective indicator for university performance?	Scientometrics	Łukasz Wiechetek, Zbigniew Pastuszak	27	cites it
2023-04-25	Impact of public news sentiment on stock market index return and volatility	Computational Management Science	Gianluca Anese, Marco Corazza, Michele Costola et al.	20	cites it
2020-06-04	An analytical system for evaluating academia units based on metrics provided by academic social network	Expert Systems with Applications	Łukasz Wiechetek, Kongkiti Phusavat, Zbigniew Pastuszak	14	cites it
2020-03-14	An exploration of gender gap using advanced data science tools: actuarial research community	Scientometrics	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). rvest (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-rvest

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

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