caret (R package): papers linking to it

← Code and data repositories cited in research papers

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

27 papers in the tracked journals link to caret (R package) in their Crossref records, the first in 2018; most of them (5) in 2025.
By category: AI (8), Statistics (5) and Economics (4); the journals with the most are Land Use Policy (3), Computational Statistics (3) and Pattern Recognition (2).

By year#

20182026

Papers linking to caret (R package) by publication year
Year	Papers
2018	1
2019	5
2021	1
2022	4
2023	5
2024	4
2025	5
2026	2

Journals#

Journals whose papers link to caret (R package) most
Journal	Papers
Land Use Policy	3
Computational Statistics	3
Pattern Recognition	2
Data Mining and Knowledge Discovery	2
Financial Innovation	1

Papers linking to caret (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-01-29	A random forests quantile classifier for class imbalanced data	Pattern Recognition	Robert C. O’Brien, Hemant Ishwaran	186	cites it
2019-05-09	Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques	Optimization Letters	Sun Hye Kim, Fani Boukouvala	119	cites it
2024-01-31	Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms	Data Mining and Knowledge Discovery	Rafael Gomes Mantovani, Tomáš Horváth, André Luis Debiaso Rossi et al.	63	cites it
2023-11-27	A preliminary study for developing perceived ESG scale to measure public perception toward organizations’ ESG performance	Public Relations Review	Hyun Jung Oh, Byoungkwan Lee, Hye Hyun Ma et al.	60	cites it
2023-05-01	A k nearest neighbour ensemble via extended neighbourhood rule and feature subsets	Pattern Recognition	Amjad Ali, Muhammad Hamraz, Naz Gul et al.	44	cites it
2019-07-18	Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines	Information Fusion	Francisco J. Pulgar, Francisco Charte, Antonio J. Rivera et al.	43	cites it
2022-05-13	Forecasting solar stock prices using tree-based machine learning classification: How important are silver prices?	The North American Journal of Economics and Finance	Perry Sadorsky	39	cites it
2019-07-11	A hybrid Bayesian-network proposition for forecasting the crude oil price	Financial Innovation	Babak Fazelabdolabadi	30	cites it
2022-11-03	Feature selection algorithms in generalized additive models under concurvity	Computational Statistics	László Kovács	27	cites it
2022-06-09	Mass appraisal as affordable public policy: Open data and machine learning for mapping urban land values	Land Use Policy	Juan Pablo Carranza, Mario Andrés Piumetto, Carlos María Lucca et al.	26	cites it
2024-03-29	A comparative study of methods for estimating model-agnostic Shapley value explanations	Data Mining and Knowledge Discovery	Lars Henry Berge Olsen, Ingrid K. Glad, Martin Jullum et al.	23	cites it
2024-04-17	Hierarchical fuzzy regression functions for mixed predictors and an application to real estate price prediction	Neural Computing and Applications	Haydar Demirhan, Furkan Başer	11	cites it
2023-12-03	Grower attitudes and practices toward area-wide management of cropping weeds in Australia	Land Use Policy	Silja Schrader, Sonia Graham, Rebecca Campbell et al.	10	cites it
2021-06-10	Optimizing B2B product offers with machine learning, mixed logit, and nonlinear programming	Journal of Marketing Analytics	John V. Colias, Stella Park, Elizabeth Horn	9	cites it
2022-03-02	Variable selection in Propensity Score Adjustment to mitigate selection bias in online surveys	Statistical Papers	Ramón Ferri‐García, María del Mar Rueda	9	cites it
2025-03-27	Learning to use local cuts	Mathematical Programming Computation	Timo Berthold, Matteo Francobaldi, Gregor Hendel	9	cites it
2024-12-06	Alternative ranking measures to predict international football results	Computational Statistics	Roberto Macrì Demartino, Leonardo Egidi, Nicola Torelli	8	cites it
2025-04-16	A machine learning approach to assessing multidimensional poverty and targeting assistance among forcibly displaced populations	World Development	Angela Christine Lyons, Alejandro Montoya Castano, Joséphine Kass-Hanna et al.	8	cites it
2018-03-15	A spatial data pre-processing tool to improve the quality of the analysis and to reduce preparation duration	Computers & Industrial Engineering	Gautier Daras, Bruno Agard A, Bernard Penz	4	cites it
2025-03-25	DatRel: a noise-tolerant data relocation approach for effective synthetic data generation in imbalanced classifiers	Machine Learning	Fatih Sağlam	4	cites it
2019-02-05	Soul of the community: an attempt to assess attachment to a community	Computational Statistics	Anna Quach, Jürgen Symanzik, Nicole Forsgren	3	cites it
2023-06-05	Researcher capacity estimation based on the Q model: a generalized linear mixed model perspective	Scientometrics	Boris Forthmann	3	cites it
2026-03-07	The missing link: Comparing mass appraisal techniques and their implications for urban land valuation policies in Latin America	Land Use Policy	Juan Pablo Carranza, Eduardo Bologna, Carlos María Lucca	2	cites it
2023-08-30	Regularization Methods for High-Dimensional Data as a Tool for Seafood Traceability	Journal of Statistical Theory and Practice	Clara Yokochi, Regina Bispo, Fernando Ricardo et al.	1	cites it
2025-11-08	Robust personnel rostering: How accurate should absenteeism predictions be?	Journal of Scheduling	Martina Doneda, Pieter Smet, Giuliana Carello et al.	1	cites it
2025-04-01	Long-term survival prediction in patients with acute brain lesions using ensemble machine learning algorithms: a cohort study with combined national health insurance service and its self-run hospital database	Journal Of Big Data	Dougho Park, Daeyoung Hong, Suntak Jin et al.	0	cites it
2026-10-22	Synthetic data publishing using Bayesian Network: a case study of COVID-19 patients data in Jakarta, Indonesia	Journal of Computational Social Science	Bahrul Ilmi Nasution, Yudhistira Nugraha, Muhammad Erza Aminanto et al.	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). caret (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-caret

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).