---
title: "mcmc-jags: papers citing this SourceForge repository"
description: "7 papers in the tracked journals link to the SourceForge repository mcmc-jags in their Crossref records, the first in 2019; most of them (2) in 2023."
url: https://scholar4ai.com/code/sourceforge-mcmc-jags
markdown_url: https://scholar4ai.com/code/sourceforge-mcmc-jags.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "7 papers in the tracked journals link to the SourceForge repository mcmc-jags in their Crossref records, the first in 2019; most of them (2) in 2023. (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)
---

# mcmc-jags: papers linking to it

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

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

## Key findings

- 7 papers in the tracked journals link to the SourceForge repository mcmc-jags in their Crossref records, the first in 2019; most of them (2) in 2023.
- By category: Operations Research (3), Economics (2) and Statistics (2); the journals with the most are Computational Statistics (2), Eurasian economic review : (1) and Computational Economics (1).

## By year

*Papers linking to mcmc-jags by publication year*

| Year | Papers |
|---|---:|
| 2019 | 2 |
| 2020 | 1 |
| 2023 | 2 |
| 2024 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to mcmc-jags most*

| Journal | Papers |
|---|---:|
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 2 |
| [Eurasian economic review :](https://scholar4ai.com/journals/eurasian-economic-review.md) | 1 |
| [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 |
| [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | 1 |
| [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | 1 |

## Papers

*Papers linking to mcmc-jags, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-12-01 | [Forecasting volatility by using wavelet transform, ARIMA and GARCH models](https://doi.org/10.1007/s40822-023-00243-x) | [Eurasian economic review :](https://scholar4ai.com/journals/eurasian-economic-review.md) | Lihki Rubio, Adriana Palacio Pinedo, Adriana Mejía Castaño et al. | 42 | cites it |
| 2019-07-19 | [Estimating criteria weight distributions in multiple criteria decision making: a Bayesian approach](https://doi.org/10.1007/s10479-019-03313-z) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Barbaros Yet, Ceren Tuncer Şakar | 14 | cites it |
| 2019-06-11 | [A Bayesian Cure Rate Model Based on the Power Piecewise Exponential Distribution](https://doi.org/10.1007/s11009-019-09728-2) | [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | Mário de Castro, Yolanda M. Gómez | 11 | cites it |
| 2023-05-16 | [Bayesian analysis of the relationship between process improvement practices and procurement maturity](https://doi.org/10.1016/j.cie.2023.109297) | [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | Serdar Semih Coşkun, Halim Kazan | 6 | cites it |
| 2020-05-06 | [On the empirical estimator of the boundary in inverse first-exit problems](https://doi.org/10.1007/s00180-020-00989-x) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Sercan Gűr, Klaus Pötzelberger | 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 |
| 2026-01-22 | [Assessing Ethereum’s Diversification Role with Bitcoin and Major Equity Index – A Bayesian Mixture Copula Approach](https://doi.org/10.1007/s10614-025-11302-7) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Jackie Ka Ki Li, Jacie Jia Liu | 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). mcmc-jags: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/sourceforge-mcmc-jags

```bibtex
@misc{scholar4ai-code-sourceforge-mcmc-jags,
  author = {{Scholar4AI}},
  title = {mcmc-jags: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/sourceforge-mcmc-jags}},
  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/).