R2jags (R package): papers linking to it

CRAN · CRAN.R-project.org/package=R2jags

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to R2jags (R package) (https://CRAN.R-project.org/package=R2jags), 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#

6 papers in the tracked journals link to R2jags (R package) in their Crossref records, the first in 2019; most of them (2) in 2025.
By category: Operations Research (2), Statistics (2) and Health Economics and Policy (1); the journals with the most are PharmacoEconomics (1), Journal of Business Ethics (1) and Methodology And Computing In Applied Probability (1).

By year#

20192025

Papers linking to R2jags (R package) by publication year
Year	Papers
2019	2
2021	1
2023	1
2025	2

Journals#

Journals whose papers link to R2jags (R package) most
Journal	Papers
PharmacoEconomics	1
Journal of Business Ethics	1
Methodology And Computing In Applied Probability	1
Annals of Operations Research	1
Computational Statistics	1

Papers linking to R2jags (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-06-28	Harmful Leader Behaviors: Toward an Increased Understanding of How Different Forms of Unethical Leader Behavior Can Harm Subordinates	Journal of Business Ethics	Juliana Guedes Almeida, Deanne N. Den Hartog, Annebel H. B. De Hoogh et al.	73	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
2023-08-01	Multi-pass Bayesian estimation: a robust Bayesian method	Computational Statistics	Yeming Lei, Shijie Zhou, Jerzy A. Filar et al.	6	cites it
2025-04-16	Afthd: Bayesian accelerated failure time model for high-dimensional time-to-event data	Japanese Journal of Statistics and Data Science	Pragya Kumari, Atanu Bhattacharjee, Gajendra K. Vishwakarma et al.	1	cites it
2025-08-12	Bayesian Cost-Effectiveness Analysis Using Individual-Level Data is Sensitive to the Choice of Uniform Priors on the Standard Deviations for Costs in Log-Normal Models	PharmacoEconomics	Xiao-Xiao Ling, Andrea Gabrio, Gianluca Baio	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). R2jags (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-r2jags

@misc{scholar4ai-code-cran-r2jags,
  author = {{Scholar4AI}},
  title = {R2jags (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-r2jags}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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