Abstract
In this paper we analyze the bibliometrics of Italian academic researchers that belong to three “academic disciplines” (SSDs), topic-based groupings defined by law. In particular, we extract the data from Elsevier’s Scopus profiles of the researchers and analyze the impact of the SSDs and Research areas (ASJC) they belong to on various productivity indices, such as the Herfindahl–Hirschman (H–index), that are widely used by universities to evaluate people, this paper presents a preliminary works aiming at characterizing the mentioned disciplines and create a dataset useful to investigate existing correlation, if any, between bibliometrics and scholar’s habits.
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Acknowledgements
This work has been partially supported by the project of University of Catania PIACERI, PIAno di inCEntivi per la Ricerca di Ateneo.
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Carchiolo, V., Grassia, M., Malgeri, M., Mangioni, G. (2022). Preliminary Characterization of Italian Academic Scholars by Their Bibliometrics. In: Camacho, D., Rosaci, D., Sarné, G.M.L., Versaci, M. (eds) Intelligent Distributed Computing XIV. IDC 2021. Studies in Computational Intelligence, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-96627-0_31
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DOI: https://doi.org/10.1007/978-3-030-96627-0_31
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