OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Preprint 01 Jan 2022Embargo end date: 01 Jan 2022 English Publisher:ZenodoJournal:CoRR, volume abs/2205.01833

Authors: Jason Priem; Heather A. Piwowar; Richard Orr;

doi: 10.5281/zenodo.6936226 , 10.5281/zenodo.6936227 , 10.48550/arxiv.2205.01833

arXiv: 2205.01833

OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts

- Summary
- Subjects
- Metrics

Abstract

OpenAlex is a new, fully-open scientific knowledge graph (SKG), launched to replace the discontinued Microsoft Academic Graph (MAG). It contains metadata for 209M works (journal articles, books, etc); 2013M disambiguated authors; 124k venues (places that host works, such as journals and online repositories); 109k institutions; and 65k Wikidata concepts (linked to works via an automated hierarchical multi-tag classifier). The dataset is fully and freely available via a web-based GUI, a full data dump, and high-volume REST API. The resource is under active development and future work will improve accuracy and coverage of citation information and author/institution parsing and deduplication.

Submitted to the 26th International Conference on Science, Technology and Innovation Indicators (STI 2022)

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Keywords

FOS: Computer and information sciences, Computer Science - Digital Libraries, Digital Libraries (cs.DL)

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	38
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%