---
title: "fpc (R package): papers citing this CRAN package"
description: "6 papers in the tracked journals link to fpc (R package) in their Crossref records, the first in 2017; most of them (2) in 2025."
url: https://scholar4ai.com/code/cran-fpc
markdown_url: https://scholar4ai.com/code/cran-fpc.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "6 papers in the tracked journals link to fpc (R package) in their Crossref records, the first in 2017; most of them (2) in 2025. (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)
---

# fpc (R package): papers linking to it

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

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

## Key findings

- 6 papers in the tracked journals link to fpc (R package) in their Crossref records, the first in 2017; most of them (2) in 2025.
- By category: Information Systems (2), Statistics (2) and AI (1); the journals with the most are Expert Systems with Applications (1), Electronic Commerce Research and Applications (1) and Business & Information Systems Engineering (1).

## By year

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

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2018 | 1 |
| 2021 | 2 |
| 2025 | 2 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Electronic Commerce Research and Applications](https://scholar4ai.com/journals/electronic-commerce-research-and-applications.md) | 1 |
| [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | 1 |
| [Networks and Spatial Economics](https://scholar4ai.com/journals/networks-and-spatial-economics.md) | 1 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2018-11-02 | [Marketing analytics: Methods, practice, implementation, and links to other fields](https://doi.org/10.1016/j.eswa.2018.11.002) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Stephen L. France, Sanjoy Ghose | 107 | cites it |
| 2021-02-07 | [Business models of FinTechs – Difference in similarity?](https://doi.org/10.1016/j.elerap.2021.101034) | [Electronic Commerce Research and Applications](https://scholar4ai.com/journals/electronic-commerce-research-and-applications.md) | Laivi Laidroo, Ekaterina V. KOROLEVA, Agata Kliber et al. | 76 | cites it |
| 2017-06-03 | [Air and HST Multimodal Products. A Segmentation Analysis for Policy Makers](https://doi.org/10.1007/s11067-017-9352-3) | [Networks and Spatial Economics](https://scholar4ai.com/journals/networks-and-spatial-economics.md) | Juan Gabriel Brida, Juan Carlos Martı́n, Concepción Román et al. | 19 | cites it |
| 2025-01-21 | [A Taxonomy for Process Improvement and Innovation Systems](https://doi.org/10.1007/s12599-025-00928-4) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | Tobias Fehrer, Linda Moder, Maximilian Röglinger | 6 | cites it |
| 2021-08-18 | [Accelerating sequential Monte Carlo with surrogate likelihoods](https://doi.org/10.1007/s11222-021-10036-4) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Joshua J. Bon, Anthony Lee, Christopher Drovandi | 4 | cites it |
| 2025-02-28 | [Application of machine learning methods in the imputation of heterogeneous co-missing data](https://doi.org/10.1007/s42081-025-00298-x) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | Hon Yiu So, Jinhui Ma, Lauren E. Griffith et al. | 1 | 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). fpc (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-fpc

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