Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

tseries (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

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Key findings#

  • 10 papers in the tracked journals link to tseries (R package) in their Crossref records, the first in 2019; most of them (3) in 2023.
  • By category: Economics (5), Finance (2) and Statistics (2); the journals with the most are Computational Economics (2), Journal of International Financial Markets Institutions and Money (1) and Agricultural and Food Economics (1).

By year#

2019: 1 paper2020: 1 paper2021: 1 paper2022: 1 paper2023: 3 papers2024: 1 paper2025: 1 paper2026: 1 paper
20192026
Papers linking to tseries (R package) by publication year
YearPapers
20191
20201
20211
20221
20233
20241
20251
20261

Journals#

Papers linking to tseries (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2026-05-11Interpreting Dummy Variables in Semi-logarithmic Regression Models: Exact Distributional ResultsJournal of Quantitative EconomicsDavid E. A. Giles56cites it
2019-05-16Testing for normality in any dimension based on a partial differential equation involving the moment generating functionAnnals of the Institute of Statistical MathematicsNorbert Henze, I. J. H. Visagie30cites it
2023-08-10Investigation of selected key indicators of circular economy for implementation processes in sectorial dimensionsJournal of Innovation & KnowledgeMarinko Škare, Beáta Gavurová, Viliam Kováč24cites it
2022-02-02Russian meat price transmission and policy interventions in 2014Agricultural and Food EconomicsDaria Loginova, Judith Irek14cites it
2023-11-02ARDL: An R Package for ARDL Models and CointegrationComputational EconomicsKleanthis Natsiopoulos, Nickolaos G. Tzeremes12cites it
2020-01-03Goodness-of-fit test of copula functions for semi-parametric univariate time series modelsStatistical PapersShulin Zhang, Qian M. Zhou, Huazhen Lin10cites it
2021-12-04Do fans’ emotions influence charitable donations? Evidence from monetary and returnable cup donations in German soccer stadiumsJournal of Behavioral and Experimental EconomicsAljoscha Minnich6cites it
2024-11-02Skew Index: a machine learning forecasting approachRisk ManagementEsteban Vanegas, Andrés Mora‐Valencia4cites it
2025-11-20Bitcoin bans & regulatory segmentation in digitally native asset marketsJournal of International Financial Markets Institutions and MoneyHenrik Seikku, Imtiaz Mohammad Sifat1cites it
2023-08-14Boosting and Predictability of Macroeconomic Variables: Evidence from BrazilComputational EconomicsGuilherme Schultz Lindenmeyer, Hudson S. Torrent0cites 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). tseries (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-tseries

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

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