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A large-scale semi-automated approach for assessing document-type classification errors in bibliometric databases

Published Online: 2025-03-10

Published Print: 2025-03

Authors

Maisano, D. A.

Mastrogiacomo, L.

Ferrara, L.

Franceschini, F. https://orcid.org/0000-0001-7131-4419
Funding

Funding for this research was provided by:

Politecnico di Torino
License Information

Text and Data Mining valid from 2025-03-01

Version of Record valid from 2025-03-10
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Article History

Received: 17 September 2024

Accepted: 14 January 2025

First Online: 10 March 2025

Document is current