Skillings.Mack (R package): papers linking to it

CRAN · CRAN.R-project.org/package=Skillings.Mack

← Code and data repositories cited in research papers

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

Key findings#

3 papers in the tracked journals link to Skillings.Mack (R package) in their Crossref records, the first in 2017; most of them (1) in 2021.
By category: AI (3); the journals with the most are Information Fusion (2) and Expert Systems with Applications (1).
2 of the papers build on one another: a later paper cites an earlier one that also links Skillings.Mack (R package).

By year#

20172021

Papers linking to Skillings.Mack (R package) by publication year
Year	Papers
2017	1
2018	1
2021	1

Journals#

Journals whose papers link to Skillings.Mack (R package) most
Journal	Papers
Information Fusion	2
Expert Systems with Applications	1

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.

Review of ensembles of multi-label classifiers: Models, experimental study and prospects Information Fusion, 2017
- Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers Information Fusion, 2021 — cites the paper above

Papers linking to Skillings.Mack (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2017-12-18	Review of ensembles of multi-label classifiers: Models, experimental study and prospects	Information Fusion	Jose M. Moyano, Eva Gibaja, Krzysztof J. Cios et al.	150	cites it
2018-05-29	A constrained ITGO heuristic applied to engineering optimization	Expert Systems with Applications	Matheus Pedroza Ferreira, Marcelo Lisboa Rocha, Antônio José da Silva Neto et al.	28	cites it
2021-08-16	Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers	Information Fusion	Jose M. Moyano, Sebastián Ventura	17	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). Skillings.Mack (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-skillings-mack

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).