robjhyndman/forecast: papers linking to it

GitHub · 1,186 stars · 336 forks · R · created 2012 · github.com/robjhyndman/forecast

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Research papers in the 480 tracked journals that link to robjhyndman/forecast (https://github.com/robjhyndman/forecast), 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#

11 papers in the tracked journals link to the GitHub repository robjhyndman/forecast in their Crossref records, the first in 2018; most of them (4) in 2019.
By category: Finance (5), Operations Research (3) and Economics (2); the journals with the most are Finance research letters (2), European Journal of Operational Research (2) and Journal of International Money and Finance (1).
6 of the papers build on one another: a later paper cites an earlier one that also links robjhyndman/forecast.

By year#

20182026

Papers linking to robjhyndman/forecast by publication year
Year	Papers
2018	2
2019	4
2020	3
2022	1
2026	1

Journals#

Journals whose papers link to robjhyndman/forecast most
Journal	Papers
Finance research letters	2
European Journal of Operational Research	2
Journal of International Money and Finance	1
Portuguese Economic Journal	1
Computational Economics	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.

Exploring the sources of uncertainty: Why does bagging for time series forecasting work? European Journal of Operational Research, 2018
- Structural combination of seasonal exponential smoothing forecasts applied to load forecasting European Journal of Operational Research, 2018 — cites the paper above
Forecasting realized gold volatility: Is there a role of geopolitical risks? Finance research letters, 2019
- A note on investor happiness and the predictability of realized volatility of gold Finance research letters, 2020 — cites the paper above
Forecasting realized oil-price volatility: The role of financial stress and asymmetric loss Journal of International Money and Finance, 2020
- Forecasting Realized Volatility of Bitcoin: The Role of the Trade War Computational Economics, 2020 — cites the paper above

Papers linking to robjhyndman/forecast, most cited first
Published	Title	Journal	Authors	Citations	Link
2018-02-02	Exploring the sources of uncertainty: Why does bagging for time series forecasting work?	European Journal of Operational Research	Fotios Petropoulos, Rob J. Hyndman, Christoph Bergmeir	162	cites it
2018-12-08	Structural combination of seasonal exponential smoothing forecasts applied to load forecasting	European Journal of Operational Research	Juan F. Rendon‐Sanchez, Lilian M. de Menezes	156	cites it
2020-01-25	Forecasting realized oil-price volatility: The role of financial stress and asymmetric loss	Journal of International Money and Finance	Κωνσταντίνος Γκίλλας, Rangan Gupta, Christian Pierdzioch	146	cites it
2019-08-28	Forecasting realized gold volatility: Is there a role of geopolitical risks?	Finance research letters	Κωνσταντίνος Γκίλλας, Rangan Gupta, Christian Pierdzioch	127	cites it
2020-08-10	Forecasting Realized Volatility of Bitcoin: The Role of the Trade War	Computational Economics	Elie I. Bouri, Κωνσταντίνος Γκίλλας, Rangan Gupta et al.	63	cites it
2019-08-17	Time-varying risk aversion and realized gold volatility	The North American Journal of Economics and Finance	Rıza Demirer, Κωνσταντίνος Γκίλλας, Rangan Gupta et al.	51	cites it
2020-05-28	A note on investor happiness and the predictability of realized volatility of gold	Finance research letters	Matteo Bonato, Κωνσταντίνος Γκίλλας, Rangan Gupta et al.	28	cites it
2019-03-12	Seasonal time series forecasting by the Walsh-transformation based technique	Central European Journal of Operations Research	Erik B. Bajalinov, Szabolcs Duleba	5	cites it
2019-11-14	Forecasting Ontario Oncology Drug Expenditures: A Hybrid Approach to Improving Accuracy	Applied Health Economics and Health Policy	Paula Murray, Yusuf Shalaby, Luciano Ieraci et al.	2	cites it
2022-08-11	Welfare and sectoral productivity shifts in a small open economy with imported agricultural inputs: The case of Sub-Saharan Africa	Portuguese Economic Journal	Juan Antonio García Cebro, Alejandro Quintela-del-Rı́o, Ramón Varela Santamaría	1	cites it
2026-05-14	Hybrid time series modelling for enhancing price predictability in agricultural markets	Journal of Revenue and Pricing Management	Joginder Kumar, Pushpa Ghiyal	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). robjhyndman/forecast: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-robjhyndman-forecast

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

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