Revistas De Ciencias Agrícolas De Suramérica Indexadas En Scielo

Abstract

This article analyzes bibliometric indicators of the journals indexed in SciELO belonging to the area of agricultural sciences for the year 2019 and their relationship with indicators of agricultural development in the region. The bibliometric data were obtained from the offcial SciELO website and the agricultural development data were obtained from the World Bank website. The data were processed using statistical techniques of association by clusters to observe similarities or differences between the indicators by country. The relationships between the indicators were established through analysis of canonical correlations and classifcation trees. The cluster analysis showed that the countries are grouped according to bibliometric indicators in fve clusters where Argentina, Brazil, Chile and Colombia are independent and Bolivia, Paraguay, Peru and Venezuela are grouped in a single cluster. As for agricultural development indicators, there are four clusters with Bolivia and Paraguay located independently, Argentina and Venezuela in one cluster and Brazil, Chile, Colombia and Peru in another cluster. There was little relationship between bibliometric indicators and agricultural development indicators, with a predominance of moderate inverse relationships with industrialization and agricultural value added (%GDP).