---
title: "AER (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to AER (R package) in their Crossref records, the first in 2018; most of them (1) in 2026."
url: https://scholar4ai.com/code/cran-aer
markdown_url: https://scholar4ai.com/code/cran-aer.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to AER (R package) in their Crossref records, the first in 2018; most of them (1) in 2026. (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)
---

# AER (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to AER (R package) in their Crossref records, the first in 2018; most of them (1) in 2026.
- By category: Statistics (2) and AI (1); the journals with the most are Statistics and Computing (1), Computational Statistics (1) and Data Mining and Knowledge Discovery (1).

## By year

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

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2019 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to AER (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 |
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-07-26 | [SAZED: parameter-free domain-agnostic season length estimation in time series data](https://doi.org/10.1007/s10618-019-00645-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Maximilian Toller, Tiago Santos, Roman Kern | 18 | cites it |
| 2018-02-07 | [Tree-structured modelling of varying coefficients](https://doi.org/10.1007/s11222-018-9804-8) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Moritz Berger, Gerhard Tutz, Matthias C. Schmid | 14 | cites it |
| 2026-02-01 | [Bayesian analysis of heavy-tailed Heckman selection models using Hamiltonian Monte Carlo](https://doi.org/10.1007/s00180-026-01717-7) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Heeju Lim, Victor E. Lachos, Victor Hugo Lachos | 1 | 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). AER (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-aer

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