---
title: "Matrix (R package): papers citing this CRAN package"
description: "9 papers in the tracked journals link to Matrix (R package) in their Crossref records, the first in 2017; most of them (2) in 2024."
url: https://scholar4ai.com/code/cran-matrix
markdown_url: https://scholar4ai.com/code/cran-matrix.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "9 papers in the tracked journals link to Matrix (R package) in their Crossref records, the first in 2017; most of them (2) in 2024. (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)
---

# Matrix (R package): papers linking to it

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

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

## Key findings

- 9 papers in the tracked journals link to Matrix (R package) in their Crossref records, the first in 2017; most of them (2) in 2024.
- By category: Statistics (3), Operations Research (2) and AI (1); the journals with the most are Computational Statistics (2), European Journal of Operational Research (1) and Statistics and Computing (1).

## By year

*Papers linking to Matrix (R package) by publication year*

| Year | Papers |
|---|---:|
| 2017 | 2 |
| 2019 | 1 |
| 2020 | 2 |
| 2022 | 1 |
| 2024 | 2 |
| 2026 | 1 |

## Journals

*Journals whose papers link to Matrix (R package) most*

| Journal | Papers |
|---|---:|
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 2 |
| [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 1 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | 1 |

## Papers

*Papers linking to Matrix (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-07-06 | [Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms](https://doi.org/10.1007/s00521-020-05172-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis | 177 | cites it |
| 2019-11-26 | [Plus–minus player ratings for soccer](https://doi.org/10.1016/j.ejor.2019.11.026) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Tarak Kharrat, Ian G. McHale, Javier López Peña | 78 | cites it |
| 2017-07-12 | [Optimal selection of expert forecasts with integer programming](https://doi.org/10.1016/j.omega.2017.06.010) | [Omega](https://scholar4ai.com/journals/omega.md) | Dmytro Matsypura, Ryan Thompson, Andrey L. Vasnev | 29 | cites it |
| 2017-11-08 | [Estimation of spatial autoregressive models with measurement error for large data sets](https://doi.org/10.1007/s00180-017-0774-7) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Thomas Suesse | 12 | cites it |
| 2024-04-13 | [NICE’s Pathways Pilot: Pursuing Good Decision Making in Difficult Circumstances](https://doi.org/10.1007/s41669-024-00490-x) | [PharmacoEconomics - Open](https://scholar4ai.com/journals/pharmacoeconomics-open.md) | Dawn Lee, Darren K. Burns, Ed Wilson | 8 | cites it |
| 2020-09-23 | [Spatio-temporal change of support modeling with R](https://doi.org/10.1007/s00180-020-01029-4) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Andrew M. Raim, Scott H. Holan, Jonathan R. Bradley et al. | 6 | cites it |
| 2022-08-10 | [Copula shrinkage and portfolio allocation in ultra-high dimensions](https://doi.org/10.1016/j.jedc.2022.104508) | [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | Stanislav Anatolyev, Пырлик Владимир Николаевич | 6 | cites it |
| 2024-01-12 | [Bayesian contiguity constrained clustering](https://doi.org/10.1007/s11222-023-10376-3) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Étienne Côme | 5 | cites it |
| 2026-10-05 | [Building networks of shared research themes in an academic unit by word co-occurrence fingerprinting](https://doi.org/10.1016/j.joi.2026.101882) | [Journal of Informetrics](https://scholar4ai.com/journals/journal-of-informetrics.md) | Art F. Y. Poon | 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). Matrix (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-matrix

```bibtex
@misc{scholar4ai-code-cran-matrix,
  author = {{Scholar4AI}},
  title = {Matrix (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-matrix}},
  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/).