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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.
Diez-Junguitu et al. (Sun,) studied this question.