ybrmg: papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ybrmg (https://osf.io/ybrmg/), 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 OSF dataset ybrmg in their Crossref records, the first in 2022; most of them (2) in 2023.
By category: Economics (3); the journals with the most are IMF Economic Review (1), Empirical Economics (1) and Indian Economic Review (1).
2 of the papers build on one another: a later paper cites an earlier one that also links ybrmg.

By year#

20222023

Papers linking to ybrmg by publication year
Year	Papers
2022	1
2023	2

Journals#

Journals whose papers link to ybrmg most
Journal	Papers
IMF Economic Review	1
Empirical Economics	1
Indian Economic Review	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Unemployment and labour market recovery policies Indian Economic Review, 2022
- Jobless and Stuck: Youth Unemployment and COVID-19 in India IMF Economic Review, 2023 — cites the paper above

Papers linking to ybrmg, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-06-01	Unemployment and labour market recovery policies	Indian Economic Review	Swati Dhingra, Fjolla Kondirolli	11	cites it
2023-06-27	Jobless and Stuck: Youth Unemployment and COVID-19 in India	IMF Economic Review	Swati Dhingra, Fjolla Kondirolli	5	cites it
2023-07-12	Impacts of the COVID lockdown on household incomes: evidence from Punjab, India	Empirical Economics	Anirban Sanyal, Nirvikar Singh, Rolly Kapoor	3	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). ybrmg: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/osf-ybrmg

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

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