AUTHOR=Cao Yutong , Cheung Nicole A. , Giustini Dean , LeDue Jeffrey , Murphy Timothy H. 

TITLE=Scholar Metrics Scraper (SMS): automated retrieval of citation and author data

JOURNAL=Frontiers in Research Metrics and Analytics

VOLUME=9

YEAR=2024

URL=https://www.frontiersin.org/journals/research-metrics-and-analytics/articles/10.3389/frma.2024.1335454

DOI=10.3389/frma.2024.1335454

ISSN=2504-0537

ABSTRACT=<p>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.</p>