BiblioMerge: A Python-based automated tool to merge WoS and Scopus bibliographic data, compatible with Biblioshiny, BibExcel, VOSviewer, SciMAT and ScientoPy

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Authors: David Diez-Junguitu, Miguel A. Peña-Cerezo
Cited by: 9
References: 46

Abstract

Academic research relies predominantly on two main scientific publication databases: Web of Science and Scopus. Combining these databases is highly recommended, but it is extremely difficult and arduous (frequently a manual task) owing to their different structures and duplicate records. To streamline this operation, BiblioMerge, a custom Python-based application, has been developed. BiblioMerge allows researchers to combine data from both sources, efficiently remove duplicates, and perform author name normalisation and disambiguation, thus overcoming the limitations observed in some bibliometric programmes. In addition, BiblioMerge provides valuable assistance in the management of keywords and cited references, facilitating normalisation or grouping as required. The end result is a single, consolidated dataset in four different file formats that is directly compatible with several bibliometric software applications, including Biblioshiny, BibExcel, VOSviewer, ScientoPy, and SciMAT. It is freely accessible through the web and does not require the installation of any specific software for its use.

Fields of Study & Subjects

Mathematics Computing and Information Processing Academic Publishing and Open Access Digital Humanities and Scholarship

Publication details

Journal / source
Journal of Informetrics
Publisher
Elsevier BV
Volume
20
Issue
1
Pages
101770–101770
Publication date
18 January 2026
Language
EN