Bibliometric studies in management and related fields are growing exponentially due to the need to systematize and summarize the growing body of publications. To do so, scholars mostly retrieve publications and metadata from either Scopus or Web of Science. Only a few bibliometric studies merge the two databases to conduct a single integrated analysis. Recent studies demonstrated the benefits of merging data from Scopus and Web of Science and presented methods for the merging. In this paper we build upon a recent method to simplify some of the key steps of merging datasets when using the R package Bibliometrix to perform bibliometric analyses. The result is a user friendly, accessible, three-step method that allows researchers to save time without compromising the integrity of the data, and the analysis. Our method is particularly beneficial for a wider application as it does not require coding skills, and neither proprietary nor shareware software.
A user-friendly method to merge Scopus and Web of Science data during bibliometric analysis / Caputo, A.; Kargina, M.. - In: JOURNAL OF MARKETING ANALYTICS. - ISSN 2050-3318. - 2021:(2021). [10.1057/s41270-021-00142-7]
A user-friendly method to merge Scopus and Web of Science data during bibliometric analysis
Caputo A.;
2021-01-01
Abstract
Bibliometric studies in management and related fields are growing exponentially due to the need to systematize and summarize the growing body of publications. To do so, scholars mostly retrieve publications and metadata from either Scopus or Web of Science. Only a few bibliometric studies merge the two databases to conduct a single integrated analysis. Recent studies demonstrated the benefits of merging data from Scopus and Web of Science and presented methods for the merging. In this paper we build upon a recent method to simplify some of the key steps of merging datasets when using the R package Bibliometrix to perform bibliometric analyses. The result is a user friendly, accessible, three-step method that allows researchers to save time without compromising the integrity of the data, and the analysis. Our method is particularly beneficial for a wider application as it does not require coding skills, and neither proprietary nor shareware software.File | Dimensione | Formato | |
---|---|---|---|
JRMA_A user-friendly method to merge Scopus and Web of Science data during bibliometric analysis_Caputo & Kargina.pdf
Open Access dal 02/11/2022
Tipologia:
Post-print referato (Refereed author’s manuscript)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
196.38 kB
Formato
Adobe PDF
|
196.38 kB | Adobe PDF | Visualizza/Apri |
2021_JMRA_AUser-friendlyMethodToMergeScopusAndWebOfScience_Caputo Kargina.pdf
Solo gestori archivio
Tipologia:
Versione editoriale (Publisher’s layout)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
575.59 kB
Formato
Adobe PDF
|
575.59 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione