---
title: "tsutils (R package): papers citing this CRAN package"
description: "5 papers in the tracked journals link to tsutils (R package) in their Crossref records, the first in 2019; most of them (2) in 2020."
url: https://scholar4ai.com/code/cran-tsutils
markdown_url: https://scholar4ai.com/code/cran-tsutils.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to tsutils (R package) in their Crossref records, the first in 2019; most of them (2) in 2020. (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)
---

# tsutils (R package): papers linking to it

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

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

## Key findings

- 5 papers in the tracked journals link to tsutils (R package) in their Crossref records, the first in 2019; most of them (2) in 2020.
- By category: Operations Research (3) and AI (2); the journals with the most are European Journal of Operational Research (3), Expert Systems with Applications (1) and Data Mining and Knowledge Discovery (1).

## By year

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

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 2 |
| 2022 | 1 |
| 2025 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 3 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-05-28 | [Retail sales forecasting with meta-learning](https://doi.org/10.1016/j.ejor.2020.05.038) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Shaohui Ma, Robert A. Fildes | 180 | cites it |
| 2020-06-15 | [Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning](https://doi.org/10.1016/j.eswa.2020.113637) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Devon K. Barrow, Nikolaos Kourentzes, Rickard Sandberg et al. | 64 | cites it |
| 2019-11-21 | [On normalization and algorithm selection for unsupervised outlier detection](https://doi.org/10.1007/s10618-019-00661-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Sevvandi Kandanaarachchi, Mario Andrés Muñoz, Rob J. Hyndman et al. | 62 | cites it |
| 2022-07-26 | [Probabilistic forecast reconciliation: Properties, evaluation and score optimisation](https://doi.org/10.1016/j.ejor.2022.07.040) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Anastasios Panagiotelis, Puwasala Gamakumara, George Athanasopoulos et al. | 61 | cites it |
| 2025-12-07 | [Analogy-based life cycle forecasts with pre-release buzz](https://doi.org/10.1016/j.ejor.2025.12.003) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Oliver Schaer, Nikolaos Kourentzes, Robert A. Fildes | 2 | 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). tsutils (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-tsutils

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