Mcomp (R package): papers linking to it

← Code and data repositories cited in research papers

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

4 papers in the tracked journals link to Mcomp (R package) in their Crossref records, the first in 2017; most of them (1) in 2025.
By category: Economics (2), Statistics (1) and AI (1); the journals with the most are International Journal of Forecasting (2), Statistics and Computing (1) and Data Mining and Knowledge Discovery (1).
3 of the papers build on one another: a later paper cites an earlier one that also links Mcomp (R package).

By year#

20172025

Papers linking to Mcomp (R package) by publication year
Year	Papers
2017	1
2019	1
2022	1
2025	1

Journals#

Journals whose papers link to Mcomp (R package) most
Journal	Papers
International Journal of Forecasting	2
Statistics and Computing	1
Data Mining and Knowledge Discovery	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Visualising forecasting algorithm performance using time series instance spaces International Journal of Forecasting, 2017
- A brief history of forecasting competitions International Journal of Forecasting, 2019 — cites the paper above
- Novel features for time series analysis: a complex networks approach Data Mining and Knowledge Discovery, 2022 — cites the paper above

Papers linking to Mcomp (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2017-01-11	Visualising forecasting algorithm performance using time series instance spaces	International Journal of Forecasting	Yanfei Kang, Rob J. Hyndman, Kate Smith‐Miles	157	cites it
2019-06-17	A brief history of forecasting competitions	International Journal of Forecasting	Rob J. Hyndman	131	cites it
2022-03-31	Novel features for time series analysis: a complex networks approach	Data Mining and Knowledge Discovery	Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro et al.	29	cites it
2025-04-09	Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model	Statistics and Computing	Xueying Long, Daniel F. Schmidt, Christoph Bergmeir et al.	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). Mcomp (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-mcomp

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

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