Automated author affiliation processing using Scopus data
Walther M, Melsheimer B (2019)
Publication Language: English
Publication Type: Journal article
Publication year: 2019
Journal
Book Volume: 146
Pages Range: 53-59
Event location: Umeå
DOI: 10.1016/j.procs.2019.01.079
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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APA:
Walther, M., & Melsheimer, B. (2019). Automated author affiliation processing using Scopus data. Procedia Computer Science, 146, 53-59. https://dx.doi.org/10.1016/j.procs.2019.01.079
MLA:
Walther, Marcus, and Bastian Melsheimer. "Automated author affiliation processing using Scopus data." Procedia Computer Science 146 (2019): 53-59.
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