Mycotoxins in food analysis: A study with bibliometric indicators and visualization maps
Abstract
The purpose of the study was to identify the development of scientific production by year and journal, determine the thematic structure and identify the co-authorship network of the literature about mycotoxins in food analysis. A descriptive study was conducted of documents published in the database Scopus from 2011 to 2020, using bibliometric indicators and visualization maps. A total 453 articles were included which met the inclusion criteria. Of these, 382 were research articles and 71 were reviews. The average annual number of citations per article ranged from 6 in 2019 to 40.5 in 2012. The most productive journal was Mycotoxin Research from Springer Nature publishers. The co-occurrence map displayed five descriptor clusters, whereas the co-authorship map displayed 21 clusters, 14 of which corresponded to authors researching in co-authorship. Scientific development had a non-uniform, slowly growing annual output. The thematic structure according to the co-occurrence network shows that the most frequent term is "mycotoxins", corresponding to mycotoxins influencing public health from the first cluster. The co-authorship network shows that 98.2% of the articles were co-authored, and the most productive author was Krska Rudolf, from Queen's University, Belfast, with 24 articles.
Key words: Mycotoxins; food analysis; bibliometrics; visualization maps.
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