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    Academic departments, research clusters and evaluators analyze author and citation data to measure research impact and to support strategic planning. We created Scholar Metrics Scraper (SMS) to automate the retrieval of bibliometric data for a group of researchers. The project contains Jupyter notebooks that take a list of researchers as an input and exports a CSV file of citation metrics from Google Scholar (GS) to visualize the group's impact and collaboration. A series of graph outputs are also available. SMS is an open solution for automating the retrieval and visualization of citation data. Copyright © 2024 Cao, Cheung, Giustini, LeDue and Murphy.


    Yutong Cao, Nicole A Cheung, Dean Giustini, Jeffrey LeDue, Timothy H Murphy. Scholar Metrics Scraper (SMS): automated retrieval of citation and author data. Frontiers in research metrics and analytics. 2024;9:1335454

    PMID: 38456123

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