--- title: "ordinal (R package): papers citing this CRAN package" description: "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." url: https://scholar4ai.com/code/cran-ordinal markdown_url: https://scholar4ai.com/code/cran-ordinal.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "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. (as of 2026-11-03)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-03T14:43:26+09:00 window: 2026-10-05 to 2026-11-03 source: OpenAlex (CC0) --- # ordinal (R package): papers linking to it 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. - CRAN - https://CRAN.R-project.org/package=ordinal All repositories: https://scholar4ai.com/code.md ## 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 *Papers linking to ordinal (R package) by publication year* | Year | Papers | |---|---:| | 2016 | 1 | | 2022 | 1 | | 2023 | 1 | | 2024 | 1 | | 2025 | 2 | | 2026 | 4 | ## Journals *Journals whose papers link to ordinal (R package) most* | Journal | Papers | |---|---:| | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 2 | | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | 2 | | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | 1 | | [Service Business](https://scholar4ai.com/journals/service-business.md) | 1 | | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 1 | ## Papers *Papers linking to ordinal (R package), most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2022-03-02 | [The effect of cooperative team culture on innovation](https://doi.org/10.1016/j.jbusres.2022.02.020) | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | Verena Rieger, Martin Klarmann | 23 | cites it | | 2016-11-16 | [Separating location and dispersion in ordinal regression models](https://doi.org/10.1016/j.ecosta.2016.10.002) | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | Gerhard Tutz, Moritz Berger | 14 | cites it | | 2025-02-21 | [Goals as reward-producing programs](https://doi.org/10.1038/s42256-025-00981-4) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Guy Davidson, Graham Todd, Julian Togelius et al. | 11 | cites it | | 2023-06-02 | [Robust logistic regression for ordered and unordered responses](https://doi.org/10.1016/j.ecosta.2023.05.004) | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | Maria Iannario, Anna Clara Monti | 4 | cites it | | 2025-05-16 | [Travel is not only a cost: How perceived travel benefits improve travel satisfaction?](https://doi.org/10.1016/j.tra.2025.104519) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Meng Zhou, Xiaodong Guan, Donggen Wang | 4 | cites it | | 2024-05-04 | [Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data](https://doi.org/10.1007/s00180-024-01499-w) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Kuo‐Jung Lee, Ray‐Bing Chen, Keunbaik Lee | 3 | cites it | | 2026-04-07 | [Soft Labelling for Deep Ordinal Classification: An Experimental Review](https://doi.org/10.1109/tkde.2026.3681678) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | Víctor-Manuel Vargas, David Guijo-Rubio, Rafael Ayllón-Gavilán et al. | 2 | cites it | | 2026-02-04 | [My dog’s vacation: service dimensions in dog hotels and their impact on customer satisfaction](https://doi.org/10.1007/s11628-026-00602-z) | [Service Business](https://scholar4ai.com/journals/service-business.md) | Jesús Martínez-Navarro, Ricardo Sellers Rubio, Asta Kyguolienė | 1 | cites it | | 2026-02-28 | [Closed-form estimators for multivariate regressions models: a single categorical variable approach](https://doi.org/10.1007/s00180-025-01679-2) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Antoine Burg, Christophe Dutang | 0 | cites it | | 2026-08-29 | [Toward AI epidemiology: a measurement standardization framework for prospective risk detection](https://doi.org/10.1007/s00146-026-03276-3) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | Kit Tempest-Walters | 0 | 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). ordinal (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-ordinal ```bibtex @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} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).