Crowdsourcing has gained increasing attention from scholars in a broad range of fields such as computer science, engineering, information system, business, and economics. However, few crowdsourcing studies are conducted from the bibliometric perspective. This paper conducts document co-citation, author co-citation, journal co-citation, and keyword co-word analysis in the crowdsourcing research field by using CiteSpace and Web of Science TM Core Collection database, aiming to identify highly cited articles and journals and influential authors in the crowdsourcing research field during the time span from 2008 to 2016 and to find out current hot research topics and future directions in the crowdsourcing research field.
Liang, Xiaobei and He, Minghua, "A Co-Citation Bibliometric Analysis of Crowdsourcing Research" (2017). ICEB 2017 Proceedings (Dubai, UAE). 2.