Document - BIP! DB: a dataset of impact measures for scientific publications

2021

Conference article Open Access

BIP! DB: a dataset of impact measures for scientific publications

Vergoulis T., Kanellos I., Atzori C., Mannocci A., Chatzopoulos S., La Bruzzo S., Manola N., Manghi P.

Scientometrics Information Retrieval (cs.IR) Research assessment FOS: Computer and information sciences Computer Science - Information Retrieval Digital Libraries (cs.DL) Computer Science - Digital Libraries Research impact

The growth rate of the number of scientific publications is constantly increasing, creating important challenges in the identification of valuable research and in various scholarly data management applications, in general. In this context, measures which can effectively quantify the scientific impact could be invaluable. In this work, we present BIP! DB, an open dataset that contains a variety of impact measures calculated for a large collection of more than 100 million scientific publications from various disciplines.

Source: WWW 2021 - Companion of the World Wide Web Conference, pp. 456–460, Online conference, 13/04/2021

Citations

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:447176,
	title = {BIP! DB: a dataset of impact measures for scientific publications},
	author = {Vergoulis T. and Kanellos I. and Atzori C. and Mannocci A. and Chatzopoulos S. and La Bruzzo S. and Manola N. and Manghi P.},
	doi = {10.1145/3442442.3451369 and 10.48550/arxiv.2101.12001},
	booktitle = {WWW 2021 - Companion of the World Wide Web Conference, pp. 456–460, Online conference, 13/04/2021},
	year = {2021}
}