robustHD (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

4 papers in the tracked journals link to robustHD (R package) in their Crossref records, the first in 2018; most of them (2) in 2021.
By category: AI (2), Statistics (1) and Operations Research (1); the journals with the most are Machine Learning (2), Statistics and Computing (1) and European Journal of Operational Research (1).
2 of the papers build on one another: a later paper cites an earlier one that also links robustHD (R package).

By year#

20182023

Papers linking to robustHD (R package) by publication year
Year	Papers
2018	1
2021	2
2023	1

Journals#

Journals whose papers link to robustHD (R package) most
Journal	Papers
Machine Learning	2
Statistics and Computing	1
European Journal of Operational Research	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.

Sparse regression for large data sets with outliers European Journal of Operational Research, 2021
- Trimming stability selection increases variable selection robustness Machine Learning, 2023 — cites the paper above

Papers linking to robustHD (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-03-21	Transforming variables to central normality	Machine Learning	Jakob Raymaekers, Peter J. Rousseeuw	84	cites it
2021-06-02	Sparse regression for large data sets with outliers	European Journal of Operational Research	Lea Bottmer, Christophe Croux, Ines Wilms	35	cites it
2018-09-20	Outlyingness: Which variables contribute most?	Statistics and Computing	Michiel Debruyne, Sebastiaan Höppner, Sven Serneels et al.	15	cites it
2023-10-04	Trimming stability selection increases variable selection robustness	Machine Learning	Tino Werner	7	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). robustHD (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-robusthd

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

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