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

frontier (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

  • 8 papers in the tracked journals link to frontier (R package) in their Crossref records, the first in 2018; most of them (2) in 2024.
  • By category: Economics (5), Management (1) and Operations Research (1); the journals with the most are Journal of Regulatory Economics (1), Journal of Industry Competition and Trade (1) and Empirical Economics (1).
  • 2 of the papers build on one another: a later paper cites an earlier one that also links frontier (R package).

By year#

2018: 1 paper2019: 1 paper2020: 1 paper2021: 1 paper2022: 1 paper2023: 1 paper2024: 2 papers
20182024
Papers linking to frontier (R package) by publication year
YearPapers
20181
20191
20201
20211
20221
20231
20242

Journals#

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 frontier (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2020-06-30Bank profit efficiency and financial consumer protection policiesJournal of Business ResearchChrysovalantis Gaganis, Emilios Galariotis, Fotios Pasiouras et al.49cites it
2021-01-16Macroprudential regulations and bank profit efficiency: international evidenceJournal of Regulatory EconomicsChrysovalantis Gaganis, Emilios Galariotis, Fotios Pasiouras et al.32cites it
2022-05-28Stochastic vs. deterministic frontier distance output function: Evidence from Brazilian higher education institutionsJournal of Productivity AnalysisAriel Gustavo Letti, Maurício Vaz Lobo Bittencourt, Luis E. Vila19cites it
2018-11-30Firm characteristics and the ability to exercise market power: empirical evidence from the iron ore marketEmpirical EconomicsRobert Germeshausen, Timo Panke, Heike Wetzel8cites it
2024-08-03Improving the predictive accuracy of production frontier models for efficiency measurement using machine learning: The LSB-MAFS methodComputers & Operations ResearchMaría D. Guillen, Juan Aparicio, Jose Luis Zofio et al.7cites it
2019-11-21A Stochastic Frontier Analysis Approach for Estimating Market Power in the Major US Meat Export MarketsJournal of Industry Competition and TradeDimitrios Panagiotou, Athanassios Stavrakoudis3cites it
2023-05-02An expectation conditional maximization algorithm for the skew-normal based stochastic frontier modelComputational StatisticsXiaonan Zhu, Zheng Mao Wei, Tonghui Wang et al.2cites it
2024-06-24Panel Stochastic Frontier Analysis with Positive SkewnessComputational EconomicsRachida El Mehdi, Christian Matthias Hafner2cites 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). frontier (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-frontier

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

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