Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods
Crossref DOI link: https://doi.org/10.1007/s11135-022-01480-z
Published Online: 2022-09-19
Published Print: 2023-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Fahimifar, Sepideh
Mousavi, Khadijeh
Mozaffari, Fatemeh
Ausloos, Marcel https://orcid.org/0000-0001-9973-0019
Text and Data Mining valid from 2022-09-19
Version of Record valid from 2022-09-19
Article History
Accepted: 20 June 2022
First Online: 19 September 2022
Declarations
:
: The authors claim to have no conflict of interest.