Bibliometric analysis of the scientific production of the Cuban Journal of Agricultural Science and the mapping of co-occurrence networks between key words
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Abstract
A bibliometric study was carried out to describe the performance of the publications from the Cuban Journal of Agricultural Science in the period 1967-2024 and to know the most published topics in recent years. The bibliometric indicators used were: scientific production and key words analysis. To analyze the journal's scientific production, Price's law was used, and the number of articles was compared by period and by the journal's main sections. The relation between the key words in the publications for each section was obtained from the co-occurrence matrices in a .net file generated with the Bibexcel program, and the VOSviewer program made possible their subsequent visualization. The journal's scientific output grew exponentially until 2016, with a marked reduction in the number of annual publications starting in 2018. The largest number of articles was obtained between 1991 and 2018. Key word analysis showed that the most important topics were related to the following terms: mathematical modeling, milk production, multivariate analysis, impact indices, animal feeding, prebiotics, probiotics, in vitro gas production, chemical composition, food quality, biomass, and yield. Bibliometric analyses proved to be useful in evaluating scientific activity and will help guide researchers in their future studies, as well as the editorial team in designing guidelines and strategies for publishing scientific results and improving the journal's current positioning.
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