owid/covid-19-data: papers linking to it

GitHub · 5,659 stars · 3,559 forks · Python · created 2020 · archived · github.com/owid/covid-19-data

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to owid/covid-19-data (https://github.com/owid/covid-19-data), 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 GitHub repository owid/covid-19-data in their Crossref records, the first in 2021; most of them (3) in 2023.
By category: AI (2), Economics (1) and Operations Research (1); the journals with the most are Neural Computing and Applications (2), World Development (1) and European Journal of Operational Research (1).

By year#

20212023

Papers linking to owid/covid-19-data by publication year
Year	Papers
2021	1
2023	3

Journals#

Journals whose papers link to owid/covid-19-data most
Journal	Papers
Neural Computing and Applications	2
World Development	1
European Journal of Operational Research	1

Papers linking to owid/covid-19-data, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-01-19	Predicting the outbreak of epidemics using a network-based approach	European Journal of Operational Research	Saikat Das, Indranil Bose, Uttam Kumar Sarkar	10	cites it
2023-04-22	Time-series benchmarks based on frequency features for fair comparative evaluation	Neural Computing and Applications	Zhou Wu, Ruiqi Jiang	6	cites it
2023-12-03	Socioeconomic conditions and contagion dynamics of the COVID-19 pandemic with and without mitigation measures: Evidence from 185 countries	World Development	Giorgos Galanis, Andreas Georgiadis	4	cites it
2021-10-09	A simulated measurement for COVID-19 pandemic using the effective reproductive number on an empirical portion of population: epidemiological models	Neural Computing and Applications	Belal Saeed Alsinglawi, Omar Mubin, Fady S.K. Alnajjar et al.	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). owid/covid-19-data: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-owid-covid-19-data

@misc{scholar4ai-code-github-owid-covid-19-data,
  author = {{Scholar4AI}},
  title = {owid/covid-19-data: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-owid-covid-19-data}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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