The Prestige of Social Scientists in Spain and France: An Examination of Their h-Index Values Using Scopus and Google Scholar.
Saved in:
| Title: | The Prestige of Social Scientists in Spain and France: An Examination of Their h-Index Values Using Scopus and Google Scholar. |
|---|---|
| Authors: | Dabós, Marcelo P.1 marcelo.dabos@gmail.com, Gantman, Ernesto R.2,3 egantman@economicas.uba.ar, Fernández Rodríguez, Carlos J.4 |
| Source: | Minerva: A Review of Science, Learning & Policy. Mar2019, Vol. 57 Issue 1, p47-66. 20p. |
| Subject Terms: | *Citation analysis, Social scientists, H-index (Citation analysis), Impact factor (Citation analysis), Science publishing |
| Reviews & Products: | Google Scholar (Web resource) |
| Abstract: | We analyze the prestige of 1,500 scholars in economics, sociology, and management who have Spanish and French institutional affiliations operationalized by their h-index in Scopus and Google Scholar. We use a negative binomial count model to examine how some individual factors affect the h-index from both databases. The results show a non-monotonic relationship between the researchers' career length and their h-index. There is a positive and statistically significant relationship between total research output and the h-index. The share of publications in English over total publications has also a positive and statistically significant effect on the h-index, except in a single case, while the share of publications in other foreign languages does not have such effect. Finally, we found that the effects of the number of citations received by documents in English (international impact) and by those in the vernacular language (local or regional impact) on the h-index vary according to the database, the country, and the discipline in question. [ABSTRACT FROM AUTHOR] |
| Copyright of Minerva: A Review of Science, Learning & Policy is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!