---
title: "missForest (R package): papers citing this CRAN package"
description: "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."
url: https://scholar4ai.com/code/cran-missforest
markdown_url: https://scholar4ai.com/code/cran-missforest.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# missForest (R package): papers linking to it

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.

- CRAN
- https://CRAN.R-project.org/package=missForest

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 1 |

## Papers

*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](https://doi.org/10.1007/s11222-021-09998-2) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 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](https://doi.org/10.1007/s10489-025-06405-5) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Bruno Petrungaro, Neville  Kenneth Kitson, Anthony Costa Constantinou | 5 | cites it |
| 2025-01-22 | [Missing value replacement in strings and applications](https://doi.org/10.1007/s10618-024-01074-3) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Giulia Bernardini, Chang Liu, Grigorios Loukides et al. | 1 | cites it |
| 2026-02-11 | [Confidence intervals for Random Forest permutation importance with missing data](https://doi.org/10.1007/s00180-026-01722-w) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).