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

diptest (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

  • 3 papers in the tracked journals link to diptest (R package) in their Crossref records, the first in 2017; most of them (1) in 2019.
  • By category: Operations Research (2) and AI (1); the journals with the most are European Journal of Operational Research (1), Journal of Heuristics (1) and Pattern Recognition (1).

By year#

2017: 1 paper2018: 1 paper2019: 1 paper
20172019
Papers linking to diptest (R package) by publication year
YearPapers
20171
20181
20191

Journals#

Journals whose papers link to diptest (R package) most
JournalPapers
European Journal of Operational Research1
Journal of Heuristics1
Pattern Recognition1
Papers linking to diptest (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2018-10-25To cluster, or not to cluster: An analysis of clusterability methodsPattern RecognitionAndreas Adolfsson, Margareta Ackerman, Naomi C. Brownstein271cites it
2017-05-29Mapping the global structure of TSP fitness landscapesJournal of HeuristicsGabriela Ochoa, Nadarajen Veerapen70cites it
2019-11-21A distributionally robust optimization approach for outpatient colonoscopy schedulingEuropean Journal of Operational ResearchKarmel S. Shehadeh, Amy E. M. Cohn, Ruiwei Jiang53cites 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). diptest (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-diptest

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

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