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  Research assessment  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: Sci-K 2021 - 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment. Co-located with The Web Conf 2021, Online conference, 13/04/2021



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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.},
	booktitle = {Sci-K 2021 - 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment. Co-located with The Web Conf 2021, Online conference, 13/04/2021},
	year = {2021}
}