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

gretl: papers linking to it

SourceForge · sourceforge.net/projects/gretl/

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to gretl (https://sourceforge.net/projects/gretl/), 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#

  • 9 papers in the tracked journals link to the SourceForge repository gretl in their Crossref records, the first in 2023; most of them (5) in 2024.
  • By category: Statistics (5), Economics (3) and Finance (1); the journals with the most are Computational Statistics (5), Finance research letters (1) and Empirical Economics (1).
  • 5 of the papers build on one another: a later paper cites an earlier one that also links gretl.

By year#

2023: 2 papers2024: 5 papers2026: 2 papers
20232026
Papers linking to gretl by publication year
YearPapers
20232
20245
20262

Journals#

Journals whose papers link to gretl most
JournalPapers
Computational Statistics5
Finance research letters1
Empirical Economics1
Journal of Economic Structures1
Journal of Quantitative Economics1

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.

Papers linking to gretl, most cited first
PublishedTitleJournalAuthorsCitationsLink
2024-10-27Manufacturing production as a source of growth: the case of PortugalJournal of Economic StructuresRicardo Ferraz6cites it
2023-09-28Regional income dynamics in BangladeshEmpirical EconomicsSyed Abul Basher, Francesca Di Iorio, Stefano Fachin5cites it
2024-02-21Bayesian regression models in gretl: the BayTool packageComputational StatisticsLuca Pedini4cites it
2024-04-20Tips and tricks for Bayesian VAR models in gretlComputational StatisticsLuca Pedini4cites it
2023-09-09Threshold cointegration and asymmetries between dividends and earnings newsFinance research lettersPeter S. Sephton2cites it
2024-03-22Which C compiler and BLAS/LAPACK library should I use: gretl’s numerical efficiency in different configurationsComputational StatisticsMarcin Błażejowski2cites it
2024-06-17The Sustainability of Portuguese Fiscal Policy in Democracy, 1974–2020Journal of Quantitative EconomicsRicardo Ferraz, Joaquim Miranda Sarmento, António Portugal Duarte2cites it
2026-01-01QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility modelsComputational StatisticsPaolo Chirico1cites it
2026-01-31Bayesian model averaging for VAR models: gretl-based implementationComputational StatisticsMarcin Błażejowski, Paweł Kufel, Jacek Kwiatkowski1cites 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). gretl: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/sourceforge-gretl

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

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