A tool for bibliometric analysis of journals indexed in Google Scholar Metrics and OpenAlex
Keywords:
Bibliometric tool, Google Scholar Metrics, Journal evaluation, OpenAlexAbstract
Google Scholar Metrics is one of the leading free tools for assessing the impact of academic journals; however, it presents significant limitations, such as the absence of a master list of journals and restrictions on automated data extraction. To overcome these challenges, this study presents the development of the GSM-ALEX_data tool, aimed at the extraction, integration, and bibliometric analysis of journals indexed in both Google Scholar Metrics and the OpenAlex database. The methodology involved the construction of four Python scripts responsible for automating data collection from both platforms, matching records, and structuring an integrated database. The results indicate that GSM-ALEX_data is effective for conducting large-scale bibliometric analyses and providing editorial data, metrics, and publications in an integrated manner. The main originality of the proposal lies in overcoming the limitations of Google Scholar Metrics through its combination with open data. It is concluded that the tool represents a resource for researchers by integrating data from platforms such as Google Scholar Metrics and OpenAlex, thereby expanding the scope available for bibliometric analyses.
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