fpc (R package): papers linking to it

← Code and data repositories cited in research papers

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.

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#

20172025

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	1
Electronic Commerce Research and Applications	1
Business & Information Systems Engineering	1
Networks and Spatial Economics	1
Statistics and Computing	1

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	Expert Systems with Applications	Stephen L. France, Sanjoy Ghose	107	cites it
2021-02-07	Business models of FinTechs – Difference in similarity?	Electronic Commerce Research and Applications	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	Networks and Spatial Economics	Juan Gabriel Brida, Juan Carlos Martı́n, Concepción Román et al.	19	cites it
2025-01-21	A Taxonomy for Process Improvement and Innovation Systems	Business & Information Systems Engineering	Tobias Fehrer, Linda Moder, Maximilian Röglinger	6	cites it
2021-08-18	Accelerating sequential Monte Carlo with surrogate likelihoods	Statistics and Computing	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	Japanese Journal of Statistics and Data Science	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

@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}
}

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