Effsize - a package for efficient effect size computation: papers linking to it

Zenodo · Software · 2016 · archives github.com/mtorchiano/effsize · doi.org/10.5281/zenodo.1480624

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Effsize - a package for efficient effect size computation (https://doi.org/10.5281/zenodo.1480624), 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#

4 papers in the tracked journals link to the Zenodo dataset Effsize - a package for efficient effect size computation in their Crossref records, the first in 2020; most of them (2) in 2026.
By category: AI (2), Management (1) and Health Economics and Policy (1); the journals with the most are Journal of Business and Psychology (1), Expert Systems with Applications (1) and PharmacoEconomics (1).

By year#

20202026

Papers linking to Effsize - a package for efficient effect size computation by publication year
Year	Papers
2020	1
2024	1
2026	2

Journals#

Journals whose papers link to Effsize - a package for efficient effect size computation most
Journal	Papers
Journal of Business and Psychology	1
Expert Systems with Applications	1
PharmacoEconomics	1
Information Fusion	1

Papers linking to Effsize - a package for efficient effect size computation, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-01-18	Psychometric Performance Comparison of the Adapted versus Original Versions of the EQ-5D-Y-3L and -Y-5L in Proxy Respondents for 2- to 4-Year-Olds	PharmacoEconomics	Alexander van Heusden, Oliver Rivero‐Arias, Michael Herdman et al.	14	cites it
2020-12-24	Stratified opposition-based initialization for variable-length chromosome shortest path problem evolutionary algorithms	Expert Systems with Applications	Aiman Ghannami, Jing Li, Ammar Hawbani et al.	7	cites it
2026-02-23	Document classification pattern recognition via information fusion: A systematic review of multimodal and multiview representation approaches	Information Fusion	Marcin Mirończuk	2	cites it
2026-07-23	One Mistake, Two Standards: An Investigation of Gendered Evaluations of Leaders’ Task and Relational Mistakes	Journal of Business and Psychology	Stefanie Krauth, Martin Paul Fladerer, Melissa M. Hehnen et al.	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). Effsize - a package for efficient effect size computation: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-1480624

@misc{scholar4ai-code-zenodo-1480624,
  author = {{Scholar4AI}},
  title = {Effsize - a package for efficient effect size computation: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-1480624}},
  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).