quantmod (R package): papers linking to it

CRAN · CRAN.R-project.org/package=quantmod

← Code and data repositories cited in research papers

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

3 papers in the tracked journals link to quantmod (R package) in their Crossref records, the first in 2019; most of them (1) in 2026.
By category: Management (1), Statistics (1) and AI (1); the journals with the most are Journal of Business Research (1), Journal of Statistical Theory and Practice (1) and Data Mining and Knowledge Discovery (1).

By year#

20192026

Papers linking to quantmod (R package) by publication year
Year	Papers
2019	1
2021	1
2026	1

Journals#

Journals whose papers link to quantmod (R package) most
Journal	Papers
Journal of Business Research	1
Journal of Statistical Theory and Practice	1
Data Mining and Knowledge Discovery	1

Papers linking to quantmod (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-11-21	On normalization and algorithm selection for unsupervised outlier detection	Data Mining and Knowledge Discovery	Sevvandi Kandanaarachchi, Mario Andrés Muñoz, Rob J. Hyndman et al.	62	cites it
2021-08-30	Firm value impact of corporate activism: Facebook and the stop hate for profit campaign	Journal of Business Research	Nuria Villagra García, Abel Monfort, Mariano Méndez-Suárez	54	cites it
2026-10-28	Distributional Properties of Gold and Bitcoin Returns Across Crisis Regimes: A Comparative Analysis	Journal of Statistical Theory and Practice	Priyanka Nagar, Luca A. Gabin, Keotshepile Mandona	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). quantmod (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-quantmod

@misc{scholar4ai-code-cran-quantmod,
  author = {{Scholar4AI}},
  title = {quantmod (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-quantmod}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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