Which fields drive the h-index: Difference between revisions
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'''[https://www.topitalianscientists.org/tis/52685/Paolo_Giudici_-_Top_Italian_Scientist_in_Mathematics Paolo Giudici]'''<sup>(a)</sup>, Luca Boscolo'''<sup>(b)</sup>. | '''[https://www.topitalianscientists.org/tis/52685/Paolo_Giudici_-_Top_Italian_Scientist_in_Mathematics Paolo Giudici]'''<sup>(a)</sup>, '''Luca Boscolo'''<sup>(b)</sup>. | ||
<sup>(a)</sup> Department of Economics and Management Sciences, University of Pavia, Italy. | <sup>(a)</sup> Department of Economics and Management Sciences, University of Pavia, Italy. | ||
Revision as of 10:27, 16 September 2024
| Published |
| September 16, 2024 |
| Title |
| Which fields drive the h-index? |
| Authors |
| Paolo Giudici, Luca Boscolo. |
| DOI |
| 10.62684/FSOZ4761 |
| Keywords |
| H-index, Poisson models, Scaling |
Paolo Giudici(a), Luca Boscolo(b).
(a) Department of Economics and Management Sciences, University of Pavia, Italy.
(b) Top Italian Scientists founder.
Abstract
The measurement of the quality of academic research is often done by means of the h-index measure. Although widely accepted, the h-index has some issues and, in particular, it may depend on the scientific field in which a researcher operates. To date there is not a definitive answer as to whether this difference holds, and to what extent it varies. To fill the gap, we propose to operationaly measure the difference in h-index across the sectors of a relatively homogeneous population of all scientists of a nation. To answer the heterogeneity issue we apply three different explainable machine learning models: linear regression, Poisson regression and tree models. Our results show that the latter two models better explain the data. They show that the only sectors for which a difference in h-index is significant are Physics, Biology and Clinical Sciences.
Declarations
Conflict of Interest
The Authors declare that there is no conflict of interest.
