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

C50 (R package): papers linking to it

CRAN · CRAN.R-project.org/package=C50

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to C50 (R package) (https://CRAN.R-project.org/package=C50), 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#

  • 11 papers in the tracked journals link to C50 (R package) in their Crossref records, the first in 2017; most of them (3) in 2019.
  • By category: AI (4), Statistics (3) and Operations Research (2); the journals with the most are Computational Statistics (3), Computational Economics (1) and Journal of the Academy of Marketing Science (1).

By year#

2017: 2 papers2018: 3 papers2019: 3 papers2020: 1 paper2021: 1 paper2025: 1 paper
20172025
Papers linking to C50 (R package) by publication year
YearPapers
20172
20183
20193
20201
20211
20251

Journals#

Papers linking to C50 (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2021-10-11Revisiting Gaussian copulas to handle endogenous regressorsJournal of the Academy of Marketing ScienceJan-Michael Becker, Dorian Proksch, Christian M. Ringle309cites it
2019-01-29A random forests quantile classifier for class imbalanced dataPattern RecognitionRobert C. O’Brien, Hemant Ishwaran186cites it
2018-01-01Machine Learning and Sampling Scheme: An Empirical Study of Money Laundering DetectionComputational EconomicsYan Zhang, Peter Trubey102cites it
2017-05-04Predicting the listing statuses of Chinese-listed companies using decision trees combined with an improved filter feature selection methodKnowledge-Based SystemsLigang Zhou, Yain‐Whar Si, Hamido Fujita50cites it
2018-09-05Learning customized and optimized lists of rules with mathematical programmingMathematical Programming ComputationCynthia D Rudin, Şeyda Ertekin49cites it
2019-06-08Predicting missing values: a comparative study on non-parametric approaches for imputationComputational StatisticsBurim Ramosaj, Markus Pauly47cites it
2017-06-19OpenML: An R package to connect to the machine learning platform OpenMLComputational StatisticsGiuseppe Casalicchio, Jakob Bossek, Michel Lang et al.42cites it
2020-04-18BEST: a decision tree algorithm that handles missing valuesComputational StatisticsCédric Beaulac, Jeffrey S. Rosenthal28cites it
2018-03-18Predicting interpurchase time in a retail environment using customer-product networks: An empirical study and evaluationExpert Systems with ApplicationsJasmien Lismont, Sudha Ram, Jan Vanthienen et al.15cites it
2019-06-22Recognising innovative companies by using a diversified stacked generalisation method for website classificationApplied IntelligenceMarcin Mirończuk, Jarosław Protasiewicz7cites it
2025-04-10Improving public transport through machine learning influence flow analysis (MIFA): Southern England bus case studyPublic TransportBenjamin Lee, Wolfgang Garn, Masoud Fakhimi et al.1cites 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). C50 (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-c50

@misc{scholar4ai-code-cran-c50,
  author = {{Scholar4AI}},
  title = {C50 (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-c50}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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