missForest (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to missForest (R package) (https://CRAN.R-project.org/package=missForest), 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 missForest (R package) in their Crossref records, the first in 2021; most of them (2) in 2025.
By category: Statistics (2) and AI (2); the journals with the most are Statistics and Computing (1), Computational Statistics (1) and Applied Intelligence (1).

By year#

20212026

Papers linking to missForest (R package) by publication year
Year	Papers
2021	1
2025	2
2026	1

Journals#

Journals whose papers link to missForest (R package) most
Journal	Papers
Statistics and Computing	1
Computational Statistics	1
Applied Intelligence	1
Data Mining and Knowledge Discovery	1

Papers linking to missForest (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-02-17	A wavelet-based approach for imputation in nonstationary multivariate time series	Statistics and Computing	Rebecca Wilson, Idris Arthur Eckley, Matthew A. Nunes et al.	19	cites it
2025-03-03	Investigating potential causes of Sepsis with Bayesian network structure learning	Applied Intelligence	Bruno Petrungaro, Neville Kenneth Kitson, Anthony Costa Constantinou	5	cites it
2025-01-22	Missing value replacement in strings and applications	Data Mining and Knowledge Discovery	Giulia Bernardini, Chang Liu, Grigorios Loukides et al.	1	cites it
2026-02-11	Confidence intervals for Random Forest permutation importance with missing data	Computational Statistics	Nico Föge, Markus Pauly	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). missForest (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-missforest

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

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