---
title: "gee (R package): papers citing this CRAN package"
description: "4 papers in the tracked journals link to gee (R package) in their Crossref records, the first in 2016; most of them (2) in 2025."
url: https://scholar4ai.com/code/cran-gee
markdown_url: https://scholar4ai.com/code/cran-gee.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 gee (R package) in their Crossref records, the first in 2016; 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)
---

# gee (R package): papers linking to it

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

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

## Key findings

- 4 papers in the tracked journals link to gee (R package) in their Crossref records, the first in 2016; most of them (2) in 2025.
- By category: Statistics (3) and Operations Research (1); the journals with the most are Statistical Papers (2), Japanese Journal of Statistics and Data Science (1) and Transportation Research Part A Policy and Practice (1).

## By year

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

| Year | Papers |
|---|---:|
| 2016 | 1 |
| 2023 | 1 |
| 2025 | 2 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | 2 |
| [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 1 |
| [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-01-10 | [A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures](https://doi.org/10.1007/s00362-022-01391-z) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Nelson Alirio Cruz Gutierrez, Oscar O. Melo, Carlos Alberto Martínez | 6 | cites it |
| 2016-11-09 | [A marginalized multilevel model for bivariate longitudinal binary data](https://doi.org/10.1007/s00362-016-0840-1) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Gül İnan, Özlem İlk | 5 | cites it |
| 2025-08-28 | [Reliability and validity of threat image projection data as a measure of performance in X-ray baggage screening](https://doi.org/10.1016/j.tra.2025.104640) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Daniela Buser, Adrian Schwaninger, Vaclav Rehor et al. | 1 | cites it |
| 2025-02-01 | [Fitting cure models using pseudo-observations approaches with the R package pseudoCure](https://doi.org/10.1007/s42081-024-00288-5) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | Sy Han Chiou, Chien‐Lin Su, Feng‐Chang Lin | 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). gee (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-gee

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