Automated author affiliation processing using Scopus data

Marcus Walther · Bastian Melsheimer

9 citations0/0 files storedProcedia Computer Science

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scientometrics and bibliometrics research Library Science and Information Systems Optics and Image Analysis

Abstract

In this paper, we present a technical development for an automated processing of Scopus’ affiliation data. The enables our users to record all external associations of research output without adding noticeable additional work load. The method uses standard tools that make the procedure portable and sustainable.

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References

2015The journal coverage of Web of Science and Scopus: a comparative analysis 2007Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses 2010Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration

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2020Publication Activity as a Research Efficiency Indicator by the Example of Chemical Organizations

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