A Bibliometric Analysis of Crowdsourcing in the Field of Public Health

Lingling Wang, Enjun Xia, Hao Li and Wei Wang
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Lingling Wang: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Enjun Xia: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Hao Li: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Wei Wang: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China

IJERPH, 2019, vol. 16, issue 20, 1-14

Abstract: With the characteristics of low cost and open call, crowdsourcing has been widely adopted in many fields, particularly to support the use of surveys, data processing, and the monitoring of public health. The objective of the current study is to analyze the applications, hotspots, and emerging trends of crowdsourcing in the field of public health. Using CiteSpace for the visualization of scientific maps, this study explores the analysis of time-scope, countries and institutions, authors, published journals, keywords, co-references, and citation clusters. The results show that the United States is the country with the most publications regarding crowdsourcing applications for public health. Howe and Brabham are the two leading authors in this field. Further, most of the articles published in this field are found in medical and comprehensive journals. Crowdsourcing in public health is increasing and diversifying. The results of this study will enable and support the analysis of the specific role of crowdsourcing in the public health ecosystem.

Keywords: crowdsourcing; public health; CiteSpace; bibliometrics (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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