Doing Meta-Analysis in R: papers linking to it

Zenodo · Text · 2019 · archives github.com/mathiasharrer/doing-meta-analysis-in-r · doi.org/10.5281/zenodo.2551803

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Doing Meta-Analysis in R (https://doi.org/10.5281/zenodo.2551803), 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#

3 papers in the tracked journals link to the Zenodo dataset Doing Meta-Analysis in R in their Crossref records, the first in 2023; most of them (1) in 2026.
By category: Economics (1), Management (1) and Higher Education and Research (1); the journals with the most are Journal of Economic Psychology (1), Journal of Business Ethics (1) and Studies In Educational Evaluation (1).

By year#

20232026

Papers linking to Doing Meta-Analysis in R by publication year
Year	Papers
2023	1
2024	1
2026	1

Journals#

Journals whose papers link to Doing Meta-Analysis in R most
Journal	Papers
Journal of Economic Psychology	1
Journal of Business Ethics	1
Studies In Educational Evaluation	1

Papers linking to Doing Meta-Analysis in R, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-06-26	Are Bad Leaders Indeed Bad for Employees? A Meta-Analysis of Longitudinal Studies Between Destructive Leadership and Employee Outcomes	Journal of Business Ethics	Peikai Li, Kui Yin, Jian Shi et al.	51	cites it
2024-01-29	Financial scarcity and cognitive performance: A meta-analysis	Journal of Economic Psychology	Filipa de Almeida, Ian James Scott, Jerônimo C. Soro et al.	25	cites it
2026-10-28	What works for closing achievement gaps: Meta-analysis of educational interventions’ excellence and equity effects in the U.S.	Studies In Educational Evaluation	Jaekyung Lee	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). Doing Meta-Analysis in R: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-2551803

@misc{scholar4ai-code-zenodo-2551803,
  author = {{Scholar4AI}},
  title = {Doing Meta-Analysis in R: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-2551803}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).