ABSTRACT
This chapter shows how Google Scholar (GS) can be used for Bibliometric purposes and at the same time to introduce some Bibliometric tools that have been built using data from this source. Coverage and growth rate are essential aspects of any bibliographic database. The growth of GS is dynamic and irregular as academic sources become GS-compliant, new commercial agreements with publishers are attained, and old printed collections are digitized. The launch of GS back in 2004 meant a revolution not only in the scientific information search market but also for research evaluation processes, especially for disciplines where results are not usually published as articles in journals published in English. In order to cover the need to evaluate those disciplines, several applications and products that make use of GS have been developed. Crawling the academic web allows GS to collect a great percentage of citations that are undetectable to other classic citation databases: GS is an academic Big Data system.
