grf (R package): papers linking to it

← Code and data repositories cited in research papers

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

13 papers in the tracked journals link to grf (R package) in their Crossref records, the first in 2021; most of them (5) in 2023.
By category: Economics (4), Operations Research (2) and Statistics (2); the journals with the most are Journal of Environmental Economics and Management (1), Labour Economics (1) and Computational Economics (1).

By year#

20212026

Papers linking to grf (R package) by publication year
Year	Papers
2021	2
2023	5
2024	4
2025	1
2026	1

Journals#

Journals whose papers link to grf (R package) most
Journal	Papers
Journal of Environmental Economics and Management	1
Labour Economics	1
Computational Economics	1
Journal of Business Ethics	1
Empirical Economics	1

Papers linking to grf (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2023-03-23	Employees Adhere More to Unethical Instructions from Human Than AI Supervisors: Complementing Experimental Evidence with Machine Learning	Journal of Business Ethics	Lukas Lanz, Roman Briker, Fabiola Heike Gerpott	81	cites it
2024-09-12	On the consistency of supervised learning with missing values	Statistical Papers	Julie Josse, Jacob M. Chen, Nicolas Prost et al.	41	cites it
2021-03-03	Bayesian additive regression trees with model trees	Statistics and Computing	Estevão B. Prado, Rafael de Andrade Moral, Andrew C. Parnell	30	cites it
2023-08-17	Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data	Computational Economics	Rangan Gupta, Sayar Karmakar, Christian Pierdzioch	13	cites it
2021-07-02	Heterogeneous effects of poverty on attention	Labour Economics	Helmut Farbmacher, Heinrich Kögel, Martin Spindler	12	cites it
2023-09-17	Improving uplift model evaluation on randomized controlled trial data	European Journal of Operational Research	Björn Bokelmann, Stefan Lessmann	9	cites it
2023-01-11	Approximation trees: statistical reproducibility in model distillation	Data Mining and Knowledge Discovery	Yichen Zhou, Zhengze Zhou, Giles Hooker	6	cites it
2024-11-12	Random Forest estimation of the ordered choice model	Empirical Economics	Michael Lechner, Gabriel Okasa	6	cites it
2024-06-22	Predicting and interpreting digital platform survival: An interpretable machine learning approach	Electronic Commerce Research and Applications	Xinyu Zhu, Qiang Zhang, Baojun Ma	5	cites it
2024-09-30	The effect of second screening on repeat viewing: Insights from large-scale mobile diary data	Journal of the Academy of Marketing Science	Sarah Gelper, Mitchell J. Lovett, Renana Peres	5	cites it
2023-09-04	Data-driven exploration of heterogeneous gasoline price elasticities using generalized random forests	Transportation	Yingheng Zhang, Haojie Li, Gang Ren	4	cites it
2025-11-25	Robust treatment assignment with uncertainty-aware causal forests: Joint optimization of accuracy and estimation uncertainty	Expert Systems with Applications	Yufan Ji, Abdollah Shafieezadeh	1	cites it
2026-01-23	Geography, income, and the incidence of a Massachusetts carbon tax	Journal of Environmental Economics and Management	Susan Stratton Sayre	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). grf (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-grf

@misc{scholar4ai-code-cran-grf,
  author = {{Scholar4AI}},
  title = {grf (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-grf}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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