2014/09/05 by Miguel Guevara, Guevara, Miguel, Marcelo Mendoza +1
Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Digital Libraries (cs.DL) #Economic and Technological Innovation #FOS: Computer and information sciences #Web visibility and informetrics #scientometrics and bibliometrics research
paper · pdf · doi:10.48550/arxiv.1409.1911
openalex publication_date 2014/09/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Mapping Science across countries is a challenging task in the field of Scientometrics. A number of efforts trying to cope with this task has been discussed in the state of the art, addressing this challenge by processing collections of scientific digital libraries and visualizing author-based measures (for instance, the h-index) or document-based measures (for instance, the averaged number of citations per document). A major drawback of these approaches is related to the presence of bias. The bigger the country, the higher the measure value. We explore the use of an econometric index to tackle this limitation, known as the Revealed Comparative Advantage measure (RCA). Using RCA, the diversity and ubiquity of each field of knowledge is mapped across countries. Then, a RCA-based proximity function is explored to visualize citation and h-index ubiquity. Science maps relating 27 knowledge areas and 237 countries are introduced using data crawled from Scimago that ranges from 1996 to 2011. Our results shows that the proposal is feasible and can be extended to ellaborate a global scientific production characterization.