---
title: "gretl: papers citing this SourceForge repository"
description: "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."
url: https://scholar4ai.com/code/sourceforge-gretl
markdown_url: https://scholar4ai.com/code/sourceforge-gretl.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# gretl: papers linking to it

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.

- SourceForge
- https://sourceforge.net/projects/gretl/

All repositories: https://scholar4ai.com/code.md

## 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

*Papers linking to gretl by publication year*

| Year | Papers |
|---|---:|
| 2023 | 2 |
| 2024 | 5 |
| 2026 | 2 |

## Journals

*Journals whose papers link to gretl most*

| Journal | Papers |
|---|---:|
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 5 |
| [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 1 |
| [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 1 |
| [Journal of Economic Structures](https://scholar4ai.com/journals/journal-of-economic-structures.md) | 1 |
| [Journal of Quantitative Economics](https://scholar4ai.com/journals/journal-of-quantitative-economics.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Regional income dynamics in Bangladesh](https://doi.org/10.1007/s00181-023-02495-7) (Empirical Economics, 2023)
  - [Which C compiler and BLAS/LAPACK library should I use: gretl’s numerical efficiency in different configurations](https://doi.org/10.1007/s00180-024-01461-w) (Computational Statistics, 2024) — cites the paper above
- [Tips and tricks for Bayesian VAR models in gretl](https://doi.org/10.1007/s00180-024-01492-3) (Computational Statistics, 2024)
  - [QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility models](https://doi.org/10.1007/s00180-025-01683-6) (Computational Statistics, 2026) — cites the paper above
  - [Bayesian model averaging for VAR models: gretl-based implementation](https://doi.org/10.1007/s00180-026-01716-8) (Computational Statistics, 2026) — cites the paper above

## Papers

*Papers linking to gretl, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-10-27 | [Manufacturing production as a source of growth: the case of Portugal](https://doi.org/10.1186/s40008-024-00339-w) | [Journal of Economic Structures](https://scholar4ai.com/journals/journal-of-economic-structures.md) | Ricardo Ferraz | 6 | cites it |
| 2023-09-28 | [Regional income dynamics in Bangladesh](https://doi.org/10.1007/s00181-023-02495-7) | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | Syed Abul Basher, Francesca Di Iorio, Stefano Fachin | 5 | cites it |
| 2024-02-21 | [Bayesian regression models in gretl: the BayTool package](https://doi.org/10.1007/s00180-024-01466-5) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Luca Pedini | 4 | cites it |
| 2024-04-20 | [Tips and tricks for Bayesian VAR models in gretl](https://doi.org/10.1007/s00180-024-01492-3) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Luca Pedini | 4 | cites it |
| 2023-09-09 | [Threshold cointegration and asymmetries between dividends and earnings news](https://doi.org/10.1016/j.frl.2023.104434) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Peter S. Sephton | 2 | cites it |
| 2024-03-22 | [Which C compiler and BLAS/LAPACK library should I use: gretl’s numerical efficiency in different configurations](https://doi.org/10.1007/s00180-024-01461-w) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Marcin Błażejowski | 2 | cites it |
| 2024-06-17 | [The Sustainability of Portuguese Fiscal Policy in Democracy, 1974–2020](https://doi.org/10.1007/s40953-024-00402-0) | [Journal of Quantitative Economics](https://scholar4ai.com/journals/journal-of-quantitative-economics.md) | Ricardo Ferraz, Joaquim Miranda Sarmento, António Portugal Duarte | 2 | cites it |
| 2026-01-01 | [QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility models](https://doi.org/10.1007/s00180-025-01683-6) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Paolo Chirico | 1 | cites it |
| 2026-01-31 | [Bayesian model averaging for VAR models: gretl-based implementation](https://doi.org/10.1007/s00180-026-01716-8) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Marcin Błażejowski, Paweł Kufel, Jacek Kwiatkowski | 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). gretl: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/sourceforge-gretl

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).