mcmc-jags: papers linking to it

SourceForge · sourceforge.net/projects/mcmc-jags/

← Code and data repositories cited in research papers

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.

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#

20192026

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	2
Eurasian economic review :	1
Computational Economics	1
Methodology And Computing In Applied Probability	1
Annals of Operations Research	1

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	Eurasian economic review :	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	Annals of Operations Research	Barbaros Yet, Ceren Tuncer Şakar	14	cites it
2019-06-11	A Bayesian Cure Rate Model Based on the Power Piecewise Exponential Distribution	Methodology And Computing In Applied Probability	Mário de Castro, Yolanda M. Gómez	11	cites it
2023-05-16	Bayesian analysis of the relationship between process improvement practices and procurement maturity	Computers & Industrial Engineering	Serdar Semih Coşkun, Halim Kazan	6	cites it
2020-05-06	On the empirical estimator of the boundary in inverse first-exit problems	Computational Statistics	Sercan Gűr, Klaus Pötzelberger	5	cites it
2024-02-21	Bayesian regression models in gretl: the BayTool package	Computational Statistics	Luca Pedini	4	cites it
2026-01-22	Assessing Ethereum’s Diversification Role with Bitcoin and Major Equity Index – A Bayesian Mixture Copula Approach	Computational Economics	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

@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}
}

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