shinydashboard (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to shinydashboard (R package) (https://CRAN.R-project.org/package=shinydashboard), 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 shinydashboard (R package) in their Crossref records, the first in 2018; most of them (2) in 2023.
By category: Statistics (2) and AI (2); the journals with the most are Computational Statistics (2), Language Resources and Evaluation (1) and Neural Computing and Applications (1).

By year#

20182023

Papers linking to shinydashboard (R package) by publication year
Year	Papers
2018	1
2021	1
2023	2

Journals#

Journals whose papers link to shinydashboard (R package) most
Journal	Papers
Computational Statistics	2
Language Resources and Evaluation	1
Neural Computing and Applications	1

Papers linking to shinydashboard (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2018-05-30	A web-oriented expert system for planning hurdles race training programmes	Neural Computing and Applications	Krzysztof Przednówek, Krzysztof Wiktorowicz, Tomasz Krzeszowski et al.	7	cites it
2021-02-24	An analysis of crash-safety ratings and the true assessment of injuries by vehicle	Computational Statistics	Cody R. Philips, Robert C. Garrett, Alan J. Tatro et al.	5	cites it
2023-02-13	Between welcome culture and border fence	Language Resources and Evaluation	Nico Blokker, André Blessing, Erenay Dayanık et al.	3	cites it
2023-04-07	A spatial extension of weather forecasts	Computational Statistics	Benjamin Schweitzer, Robert C. Garrett, Nichole Rook et al.	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). shinydashboard (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-shinydashboard

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

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