gee (R package): papers linking to it

← Code and data repositories cited in research papers

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.

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#

20162025

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	2
Japanese Journal of Statistics and Data Science	1
Transportation Research Part A Policy and Practice	1

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	Statistical Papers	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	Statistical Papers	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	Transportation Research Part A Policy and Practice	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	Japanese Journal of Statistics and Data Science	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

@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}
}

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