Making the complete OpenAIRE citation graph easily accessible through compact data representation
Abstract
The OpenAIRE graph contains a large citation graph dataset, with over 200 million publications and over 2 billion citations. The current graph is available as a dump with metadata which, when uncompressed, totals 2.5 TB. This makes it hard to process on conventional computers. To make this network more accessible for the community, we provide a processed OpenAIRE graph which is downscaled to 16 GB RAM, while preserving the full graph structure. Apart from this we offer the processed data in a very simple format, which allows for further straightforward manipulation. We also provide (1) a Python pipeline, which can be used to process the next releases of the OpenAIRE graph, and (2) a larger version of the dataset including more publication fields such as, the title, list of authors.
Cite
@article{arxiv.2602.12206,
title = {Making the complete OpenAIRE citation graph easily accessible through compact data representation},
author = {Joakim Skarding and Pavel Sanda},
journal= {arXiv preprint arXiv:2602.12206},
year = {2026}
}
Comments
This work has been funded by a grant from the Programme Johannes Amos Comenius under the Ministry of Education, Youth and Sports of the Czech Republic, CZ.02.01.01/00/23_025/0008711 Abstract updated to reflect new version