---
title: "quarto (R package): papers citing this CRAN package"
description: "4 papers in the tracked journals link to quarto (R package) in their Crossref records, the first in 2022; most of them (3) in 2023."
url: https://scholar4ai.com/code/cran-quarto
markdown_url: https://scholar4ai.com/code/cran-quarto.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 quarto (R package) in their Crossref records, the first in 2022; most of them (3) 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)
---

# quarto (R package): papers linking to it

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

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

## Key findings

- 4 papers in the tracked journals link to quarto (R package) in their Crossref records, the first in 2022; most of them (3) in 2023.
- By category: Management (2), Health Economics and Policy (1) and Marketing (1); the journals with the most are PharmacoEconomics (1), Journal of Business Research (1) and Journal of Business Economics (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links quarto (R package).

## By year

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

| Year | Papers |
|---|---:|
| 2022 | 1 |
| 2023 | 3 |

## Journals

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

| Journal | Papers |
|---|---:|
| [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 1 |
| [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | 1 |
| [Journal of Business Economics](https://scholar4ai.com/journals/journal-of-business-economics.md) | 1 |
| [Marketing Letters](https://scholar4ai.com/journals/marketing-letters.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Forty years of context effect research in marketing: a bibliometric analysis](https://doi.org/10.1007/s11573-023-01167-3) (Journal of Business Economics, 2023)
  - [Caffeine’s complex influence on the attraction effect: a mixed bag of outcomes](https://doi.org/10.1007/s11002-023-09710-6) (Marketing Letters, 2023) — cites the paper above

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-09-30 | [Toward open science in PLS-SEM: Assessing the state of the art and future perspectives](https://doi.org/10.1016/j.jbusres.2023.114291) | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | Susanne Jana Adler, Pratyush Nidhi Sharma, Lăcrămioara Radomir | 28 | cites it |
| 2023-06-21 | [Forty years of context effect research in marketing: a bibliometric analysis](https://doi.org/10.1007/s11573-023-01167-3) | [Journal of Business Economics](https://scholar4ai.com/journals/journal-of-business-economics.md) | Susanne Jana Adler, Martina Katharina Schöniger, Marcel Lichters et al. | 15 | cites it |
| 2022-11-06 | [Health Economic Evaluation Using Markov Models in R for Microsoft Excel Users: A Tutorial](https://doi.org/10.1007/s40273-022-01199-7) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | Nathan Green, Felicity Lamrock, Nichola R. Naylor et al. | 14 | cites it |
| 2023-11-18 | [Caffeine’s complex influence on the attraction effect: a mixed bag of outcomes](https://doi.org/10.1007/s11002-023-09710-6) | [Marketing Letters](https://scholar4ai.com/journals/marketing-letters.md) | Michael Canty, Felix J. Lang, Susanne Jana Adler et al. | 8 | 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). quarto (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-quarto

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