fdaoutlier (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

6 papers in the tracked journals link to fdaoutlier (R package) in their Crossref records, the first in 2022; most of them (3) in 2022.
By category: Statistics (4), Operations Research (1) and AI (1); the journals with the most are Computational Statistics (2), Annals of Operations Research (1) and Statistics and Computing (1).
3 of the papers build on one another: a later paper cites an earlier one that also links fdaoutlier (R package).

By year#

20222026

Papers linking to fdaoutlier (R package) by publication year
Year	Papers
2022	3
2024	1
2025	1
2026	1

Journals#

Journals whose papers link to fdaoutlier (R package) most
Journal	Papers
Computational Statistics	2
Annals of Operations Research	1
Statistics and Computing	1
Environmental and Ecological Statistics	1
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.

Supervised classification of curves via a combined use of functional data analysis and tree-based methods Computational Statistics, 2022
- Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers Computational Statistics, 2022 — cites the paper above
  - FWLMkNN: Efficient functional K-nearest neighbor based on clustering and functional data analysis Expert Systems with Applications, 2025 — cites the paper above

Papers linking to fdaoutlier (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2022-07-25	Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	Computational Statistics	Fabrizio Maturo, Rosanna Verde	28	cites it
2022-05-30	Supervised classification of curves via a combined use of functional data analysis and tree-based methods	Computational Statistics	Fabrizio Maturo, Rosanna Verde	25	cites it
2024-07-06	Locally sparse and robust partial least squares in scalar-on-function regression	Statistics and Computing	Sude Gurer, Han Lin Shang, Abhijit Mandal et al.	7	cites it
2025-06-11	FWLMkNN: Efficient functional K-nearest neighbor based on clustering and functional data analysis	Expert Systems with Applications	Mohammed Sabri, Rosanna Verde, Antonio Balzanella	7	cites it
2022-11-27	Outliers detection in assessment tests’ quality evaluation through the blended use of functional data analysis and item response theory	Annals of Operations Research	Fabrizio Maturo, Francesca Fortuna, Tonio Di Battista	3	cites it
2026-10-13	Robust spatial scalar-on-function regression: a Fisher-consistent redescending M-estimation approach	Environmental and Ecological Statistics	Muge Mutis, Ufuk Beyaztaş, Han Lin Shang	0	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). fdaoutlier (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-fdaoutlier

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

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