---
title: "earth (R package): papers citing this CRAN package"
description: "7 papers in the tracked journals link to earth (R package) in their Crossref records, the first in 2018; most of them (2) in 2026."
url: https://scholar4ai.com/code/cran-earth
markdown_url: https://scholar4ai.com/code/cran-earth.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "7 papers in the tracked journals link to earth (R package) in their Crossref records, the first in 2018; most of them (2) 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)
---

# earth (R package): papers linking to it

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

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

## Key findings

- 7 papers in the tracked journals link to earth (R package) in their Crossref records, the first in 2018; most of them (2) in 2026.
- By category: AI (4), Operations Research (2) and Statistics (1); the journals with the most are Neural Computing and Applications (2), Expert Systems with Applications (1) and Machine Learning (1).

## By year

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

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2020 | 1 |
| 2021 | 1 |
| 2023 | 1 |
| 2025 | 1 |
| 2026 | 2 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |
| [Central European Journal of Operations Research](https://scholar4ai.com/journals/central-european-journal-of-operations-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 earth (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-07-06 | [Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms](https://doi.org/10.1007/s00521-020-05172-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis | 177 | cites it |
| 2021-07-20 | [Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques](https://doi.org/10.1007/s00521-021-06304-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Paulino José García Nieto, Esperanza García–Gonzalo, José P. Paredes–Sánchez | 67 | cites it |
| 2018-12-10 | [Piecewise regression analysis through information criteria using mathematical programming](https://doi.org/10.1016/j.eswa.2018.12.013) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Ioannis Gkioulekas, Lazaros G. Papageorgiou | 45 | cites it |
| 2023-08-07 | [The use of machine learning techniques for assessing the potential of organizational resilience](https://doi.org/10.1007/s10100-023-00875-z) | [Central European Journal of Operations Research](https://scholar4ai.com/journals/central-european-journal-of-operations-research.md) | Tomasz Ewertowski, Buse Çisil Güldoğuş, Semih Kuter et al. | 29 | cites it |
| 2025-03-25 | [DatRel: a noise-tolerant data relocation approach for effective synthetic data generation in imbalanced classifiers](https://doi.org/10.1007/s10994-025-06755-8) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Fatih Sağlam | 4 | cites it |
| 2026-06-01 | [Adaptively fitting expansions of radial basis functions in regression](https://doi.org/10.1007/s00180-026-01747-1) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Eugène-Patrice Ndong Nguéma | 0 | cites it |
| 2026-08-25 | [Factors associated with discrepancies between scheduled and actual flight block times: evidence from U.S. domestic airline operations](https://doi.org/10.1016/j.tra.2026.105227) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Yi Gao, Zhi Dou, Sen Wang 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). earth (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-earth

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