---
title: "partykit (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to partykit (R package) in their Crossref records, the first in 2017; most of them (2) in 2022."
url: https://scholar4ai.com/code/cran-partykit
markdown_url: https://scholar4ai.com/code/cran-partykit.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 partykit (R package) in their Crossref records, the first in 2017; most of them (2) in 2022. (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)
---

# partykit (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to partykit (R package) in their Crossref records, the first in 2017; most of them (2) in 2022.
- By category: Finance (1), Operations Research (1) and AI (1); the journals with the most are Research in International Business and Finance (1), Transportation (1) and Machine Learning (1).

## By year

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

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2022 | 2 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 1 |
| [Transportation](https://scholar4ai.com/journals/transportation.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2017-03-18 | [A mixed Bayesian network for two-dimensional decision modeling of departure time and mode choice](https://doi.org/10.1007/s11116-017-9770-6) | [Transportation](https://scholar4ai.com/journals/transportation.md) | Zheng Zhu, Xiqun Michael Chen, Chenfeng Xiong et al. | 44 | cites it |
| 2022-04-01 | [Optimal survival trees](https://doi.org/10.1007/s10994-021-06117-0) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Dimitris Bertsimas, Jack Dunn, Emma Gibson et al. | 43 | cites it |
| 2022-05-13 | [The effect of annual report narratives on the cost of capital in the Middle East and North Africa: A machine learning approach](https://doi.org/10.1016/j.ribaf.2022.101675) | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | Gehan A. Mousa, Elsayed A. H. Elamir, Khaled Hussainey | 17 | 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). partykit (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-partykit

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