--- title: "h2o (R package): papers citing this CRAN package" description: "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." url: https://scholar4ai.com/code/cran-h2o markdown_url: https://scholar4ai.com/code/cran-h2o.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "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. (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) --- # h2o (R package): papers linking to it 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. - CRAN - https://CRAN.R-project.org/package=h2o All repositories: https://scholar4ai.com/code.md ## 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 *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](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 2 | | [European Actuarial Journal](https://scholar4ai.com/journals/european-actuarial-journal.md) | 1 | | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 | | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 1 | | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 1 | ## Papers *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](https://doi.org/10.1016/j.trc.2017.08.001) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Lijuan Liu, Rung-Ching Chen | 245 | cites it | | 2018-07-25 | [Assessing carbon emissions from road transport through traffic flow estimators](https://doi.org/10.1016/j.trc.2018.07.020) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 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](https://doi.org/10.1007/s10614-024-10618-0) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Alexandre Momparler, Pedro Carmona, Francisco Climent | 28 | cites it | | 2020-12-08 | [Option valuation under no-arbitrage constraints with neural networks](https://doi.org/10.1016/j.ejor.2020.12.003) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 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](https://doi.org/10.1007/s13385-022-00325-1) | [European Actuarial Journal](https://scholar4ai.com/journals/european-actuarial-journal.md) | Lucas Reck, Johannes Schupp, Andreas Reuß | 11 | cites it | | 2019-03-15 | [Ruta: Implementations of neural autoencoders in R](https://doi.org/10.1016/j.knosys.2019.01.014) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 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](https://doi.org/10.1007/s12469-024-00387-2) | [Public Transport](https://scholar4ai.com/journals/public-transport.md) | Benjamin Lee, Wolfgang Garn, Masoud Fakhimi et al. | 1 | cites it | | 2026-09-07 | [Fare enough: A quantitative spatial transport model for transit pricing](https://doi.org/10.1016/j.tra.2026.105237) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 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 ```bibtex @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} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).