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

ordinal (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

  • 10 papers in the tracked journals link to ordinal (R package) in their Crossref records, the first in 2016; most of them (4) in 2026.
  • By category: Statistics (4), AI (3) and Management (2); the journals with the most are Computational Statistics (2), Econometrics and Statistics (2) and Journal of Business Research (1).

By year#

2016: 1 paper2022: 1 paper2023: 1 paper2024: 1 paper2025: 2 papers2026: 4 papers
20162026
Papers linking to ordinal (R package) by publication year
YearPapers
20161
20221
20231
20241
20252
20264

Journals#

Papers linking to ordinal (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2022-03-02The effect of cooperative team culture on innovationJournal of Business ResearchVerena Rieger, Martin Klarmann23cites it
2016-11-16Separating location and dispersion in ordinal regression modelsEconometrics and StatisticsGerhard Tutz, Moritz Berger14cites it
2025-02-21Goals as reward-producing programsNature Machine IntelligenceGuy Davidson, Graham Todd, Julian Togelius et al.11cites it
2023-06-02Robust logistic regression for ordered and unordered responsesEconometrics and StatisticsMaria Iannario, Anna Clara Monti4cites it
2025-05-16Travel is not only a cost: How perceived travel benefits improve travel satisfaction?Transportation Research Part A Policy and PracticeMeng Zhou, Xiaodong Guan, Donggen Wang4cites it
2024-05-04Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal dataComputational StatisticsKuo‐Jung Lee, Ray‐Bing Chen, Keunbaik Lee3cites it
2026-04-07Soft Labelling for Deep Ordinal Classification: An Experimental ReviewIEEE Transactions on Knowledge and Data EngineeringVíctor-Manuel Vargas, David Guijo-Rubio, Rafael Ayllón-Gavilán et al.2cites it
2026-02-04My dog’s vacation: service dimensions in dog hotels and their impact on customer satisfactionService BusinessJesús Martínez-Navarro, Ricardo Sellers Rubio, Asta Kyguolienė1cites it
2026-02-28Closed-form estimators for multivariate regressions models: a single categorical variable approachComputational StatisticsAntoine Burg, Christophe Dutang0cites it
2026-08-29Toward AI epidemiology: a measurement standardization framework for prospective risk detectionAI & SocietyKit Tempest-Walters0cites 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). ordinal (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-ordinal

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

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