---
title: "ForeCA (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to ForeCA (R package) in their Crossref records, the first in 2017; most of them (1) in 2023."
url: https://scholar4ai.com/code/cran-foreca
markdown_url: https://scholar4ai.com/code/cran-foreca.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to ForeCA (R package) in their Crossref records, the first in 2017; most of them (1) in 2023. (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)
---

# ForeCA (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to ForeCA (R package) in their Crossref records, the first in 2017; most of them (1) in 2023.
- By category: Economics (2) and AI (1); the journals with the most are International Journal of Forecasting (2) and Cognitive Computation (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links ForeCA (R package).

## By year

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

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2020 | 1 |
| 2023 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | 2 |
| [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Visualising forecasting algorithm performance using time series instance spaces](https://doi.org/10.1016/j.ijforecast.2016.09.004) (International Journal of Forecasting, 2017)
  - [Kaggle forecasting competitions: An overlooked learning opportunity](https://doi.org/10.1016/j.ijforecast.2020.07.007) (International Journal of Forecasting, 2020) — cites the paper above

## Papers

*Papers linking to ForeCA (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-09-01 | [Kaggle forecasting competitions: An overlooked learning opportunity](https://doi.org/10.1016/j.ijforecast.2020.07.007) | [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | Casper Solheim Bojer, Jens Peder Meldgaard | 267 | cites it |
| 2017-01-11 | [Visualising forecasting algorithm performance using time series instance spaces](https://doi.org/10.1016/j.ijforecast.2016.09.004) | [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | Yanfei Kang, Rob J. Hyndman, Kate Smith‐Miles | 157 | cites it |
| 2023-01-20 | [Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning](https://doi.org/10.1007/s12559-022-10080-w) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Malte Schilling, Barbara Hammer, Frank W. Ohl et al. | 9 | 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). ForeCA (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-foreca

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