Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

shiny (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

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Key findings#

  • 23 papers in the tracked journals link to shiny (R package) in their Crossref records, the first in 2017; most of them (6) in 2023.
  • By category: Statistics (7), AI (7) and Health Economics and Policy (2); the journals with the most are Computational Statistics (5), PharmacoEconomics (2) and Scientometrics (2).
  • 2 of the papers build on one another: a later paper cites an earlier one that also links shiny (R package).

By year#

2017: 1 paper2018: 6 papers2019: 3 papers2020: 1 paper2021: 2 papers2022: 1 paper2023: 6 papers2024: 1 paper2025: 1 paper2026: 1 paper
20172026
Papers linking to shiny (R package) by publication year
YearPapers
20171
20186
20193
20201
20212
20221
20236
20241
20251
20261

Journals#

Journals whose papers link to shiny (R package) most
JournalPapers
Computational Statistics5
PharmacoEconomics2
Scientometrics2
Language Resources and Evaluation2
Insurance Mathematics and Economics1

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.

Papers linking to shiny (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2018-10-30bupaR: Enabling reproducible business process analysisKnowledge-Based SystemsGert Janssenswillen, Benoît Depaire, Marijke Swennen et al.90cites it
2019-06-26Transparency in Decision Modelling: What, Why, Who and How?PharmacoEconomicsChris Sampson, Renée J.G. Arnold, Stirling Bryan et al.61cites it
2017-06-11Grouped multivariate and functional time series forecasting:An application to annuity pricingInsurance Mathematics and EconomicsHan Lin Shang, Steven Haberman35cites it
2023-10-09A decision-making tool for the determination of the distribution center location in a humanitarian logistics networkExpert Systems with ApplicationsXenofon Taouktsis, Christos Zikopoulos30cites it
2019-05-13Detecting taxi movements using Random Swap clustering and sequential pattern miningJournal Of Big DataRami Ibrahim, M. Omair Shafiq19cites it
2020-03-31R and Shiny for Cost-Effectiveness Analyses: Why and When? A Hypothetical Case StudyPharmacoEconomicsRania A. Hart, Darren K. Burns, Bram L. T. Ramaekers et al.15cites it
2023-06-21Forty years of context effect research in marketing: a bibliometric analysisJournal of Business EconomicsSusanne Jana Adler, Martina Katharina Schöniger, Marcel Lichters et al.15cites it
2018-04-01Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic ApproachData Mining and Knowledge DiscoveryKai Puolamäki, Emilia Oikarinen, Bo Kang et al.10cites it
2019-04-08Beyond lexical frequencies: using R for text analysis in the digital humanitiesLanguage Resources and EvaluationTaylor Arnold, Nicolas Ballier, Paula Lissón et al.10cites it
2018-03-20Identifying superfluous survey itemsJournal of Retailing and Consumer ServicesKylie Brosnan, Bettina Grün, Sara Dolničar9cites it
2018-11-11Putting down roots: a graphical exploration of community attachmentComputational StatisticsAndee Kaplan, Eric Hare9cites it
2018-05-30A web-oriented expert system for planning hurdles race training programmesNeural Computing and ApplicationsKrzysztof Przednówek, Krzysztof Wiktorowicz, Tomasz Krzeszowski et al.7cites it
2018-09-05A web-based tool for designing experimental studies to detect hormesis and estimate the threshold doseStatistical PapersVíctor Manuel Casero-Alonso, Andrey Pepelyshev, Weng Kee Wong5cites it
2021-02-24An analysis of crash-safety ratings and the true assessment of injuries by vehicleComputational StatisticsCody R. Philips, Robert C. Garrett, Alan J. Tatro et al.5cites it
2021-07-05Visualization of statistically significant correlation coefficients from a correlation matrix: a call for a change in practiceJournal of Marketing AnalyticsVivek H. Patil, Frederick H. Franken5cites it
2023-03-30Let’s talk about the weather: a cluster-based approach to weather forecast accuracyComputational StatisticsJill F. Lundell, Brennan Bean, Jürgen Symanzik4cites it
2023-02-13Between welcome culture and border fenceLanguage Resources and EvaluationNico Blokker, André Blessing, Erenay Dayanık et al.3cites it
2024-06-08biblioverlap: an R package for document matching across bibliographic datasetsScientometricsGabriel Alves Vieira, Jacqueline Leta3cites it
2025-03-10A tour-based SP-off-RP survey for combined time period and mode choiceTransportationFlorian Aschauer, Gregor Husner, Astrid Gühnemann et al.2cites it
2023-04-07A spatial extension of weather forecastsComputational StatisticsBenjamin Schweitzer, Robert C. Garrett, Nichole Rook et al.1cites it
2023-09-29Housing variables and immigration: an exploratory analysis in New York CityComputational StatisticsJhonatan Medri, Braden D. Probst, Jürgen Symanzik1cites it
2022-09-19The phoropter method: a stochastic graphical procedure for prior elicitation in univariate data modelsJournal of the Korean Statistical SocietyChristopher J. Casement, David J. Kahle0cites it
2026-08-08A multi-phase reference matching algorithm for bibliometric analysis: design, implementation, and evaluationScientometricsMassimo Aria, Luca D’Aniello, Maria Spano0cites 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). shiny (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-shiny

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

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