---
title: "coda (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to coda (R package) in their Crossref records, the first in 2018; most of them (1) in 2023."
url: https://scholar4ai.com/code/cran-coda
markdown_url: https://scholar4ai.com/code/cran-coda.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 coda (R package) in their Crossref records, the first in 2018; most of them (1) in 2023. (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)
---

# coda (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to coda (R package) in their Crossref records, the first in 2018; most of them (1) in 2023.
- By category: Health Economics and Policy (1), Economics (1) and Statistics (1); the journals with the most are PharmacoEconomics (1), Computational Economics (1) and Computational Statistics (1).

## By year

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

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2022 | 1 |
| 2023 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 1 |
| [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-07-05 | [Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data](https://doi.org/10.1007/s00180-023-01376-y) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Subhankar Dutta, Sanku Dey, Suchandan Kayal | 51 | cites it |
| 2018-07-20 | [Severity-Stratified Discrete Choice Experiment Designs for Health State Evaluations](https://doi.org/10.1007/s40273-018-0694-6) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | Sesil Lim, Marcel F. Jonker, Mark Oppe et al. | 19 | cites it |
| 2022-11-30 | [Bayesian Inference for Mixed Gaussian GARCH-Type Model by Hamiltonian Monte Carlo Algorithm](https://doi.org/10.1007/s10614-022-10337-4) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Rubing Liang, Binbin Qin, Qiang Xia | 4 | 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). coda (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-coda

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