Which fields drive the h-index: Difference between revisions
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|title=Which fields drive the h-index? - Top Italian Scientists Journal | |title=Which fields drive the h-index? - Top Italian Scientists Journal | ||
|description=The measurement of the quality of academic research is often done by means of the h-index measure. | |description=The measurement of the quality of academic research is often done by means of the h-index measure. | ||
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<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 - | ||
<sup>(b)</sup> Top Italian Scientists. | <sup>(b)</sup> Top Italian Scientists founder. | ||
== Abstract == | == 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 | 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. | 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. | ||
Latest revision as of 08:22, 8 October 2023
| Published |
| October 1, 2023 |
| Title |
| Which fields drive the h-index? |
| Authors |
| Paolo Giudici, Luca Boscolo |
| Downloads |
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.
