h2o (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to h2o (R package) (https://CRAN.R-project.org/package=h2o), 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#

8 papers in the tracked journals link to h2o (R package) in their Crossref records, the first in 2017; most of them (1) in 2026.
By category: Operations Research (5), Finance (1) and Economics (1); the journals with the most are Transportation Research Part C Emerging Technologies (2), European Actuarial Journal (1) and Computational Economics (1).

By year#

20172026

Papers linking to h2o (R package) by publication year
Year	Papers
2017	1
2018	1
2019	1
2020	1
2022	1
2024	1
2025	1
2026	1

Journals#

Journals whose papers link to h2o (R package) most
Journal	Papers
Transportation Research Part C Emerging Technologies	2
European Actuarial Journal	1
Computational Economics	1
European Journal of Operational Research	1
Transportation Research Part A Policy and Practice	1

Papers linking to h2o (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2017-08-30	A novel passenger flow prediction model using deep learning methods	Transportation Research Part C Emerging Technologies	Lijuan Liu, Rung-Ching Chen	245	cites it
2018-07-25	Assessing carbon emissions from road transport through traffic flow estimators	Transportation Research Part C Emerging Technologies	Silvio Nocera, Cayetano Ruiz de Alarcón Quintero, Federico Cavallaro	72	cites it
2024-05-04	Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning	Computational Economics	Alexandre Momparler, Pedro Carmona, Francisco Climent	28	cites it
2020-12-08	Option valuation under no-arbitrage constraints with neural networks	European Journal of Operational Research	Yi Cao, Xiaoquan Liu, Jia Zhai	22	cites it
2022-11-10	Identifying the determinants of lapse rates in life insurance: an automated Lasso approach	European Actuarial Journal	Lucas Reck, Johannes Schupp, Andreas Reuß	11	cites it
2019-03-15	Ruta: Implementations of neural autoencoders in R	Knowledge-Based Systems	David Charte, Francisco Herrera, Francisco Charte	6	cites it
2025-04-10	Improving public transport through machine learning influence flow analysis (MIFA): Southern England bus case study	Public Transport	Benjamin Lee, Wolfgang Garn, Masoud Fakhimi et al.	1	cites it
2026-09-07	Fare enough: A quantitative spatial transport model for transit pricing	Transportation Research Part A Policy and Practice	Isaac Mann, David Matthew Levinson	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). h2o (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-h2o

@misc{scholar4ai-code-cran-h2o,
  author = {{Scholar4AI}},
  title = {h2o (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-h2o}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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