hts (R package): papers linking to it

← Code and data repositories cited in research papers

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

5 papers in the tracked journals link to hts (R package) in their Crossref records, the first in 2019; most of them (3) in 2019.
By category: Economics (2), AI (2) and Operations Research (1); the journals with the most are International Journal of Forecasting (2), Computers & Industrial Engineering (1) and Machine Learning (1).

By year#

20192022

Papers linking to hts (R package) by publication year
Year	Papers
2019	3
2022	2

Journals#

Journals whose papers link to hts (R package) most
Journal	Papers
International Journal of Forecasting	2
Computers & Industrial Engineering	1
Machine Learning	1
Expert Systems with Applications	1

Papers linking to hts (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-06-27	Hierarchical time series forecasting via Support Vector Regression in the European Travel Retail Industry	Expert Systems with Applications	Juan Pablo Karmy, Sebastián Maldonado	86	cites it
2019-07-16	The M4 forecasting competition – A practitioner’s view	International Journal of Forecasting	Chris Fry, Michael Brundage	34	cites it
2022-01-14	Model selection in reconciling hierarchical time series	Machine Learning	Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis et al.	25	cites it
2022-09-14	Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations	Computers & Industrial Engineering	Kamal Sanguri, Sonali Shankar, Sushil Punia et al.	18	cites it
2019-03-12	Data visualization and forecast combination for probabilistic load forecasting in GEFCom2017 final match	International Journal of Forecasting	Julian de Hoog, Khalid Abdulla	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). hts (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-hts

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).