Scientometric analysis of agricultural research area

Abstract

Abstract. There is a wide range of article and literature in agricultural sciences, but only a few review of existing studies has systematically analyzed and visualized the trends in agricultural research. This study reviews agricultural research mainly published in the Scopus and Web of Science databases from 2013 to 2018 with the scientometric analysis. The main hot Research Fronts mainly cover research on plant-gene regulatory networks and genome editing; crop disease and pest control; food nutrition and safety; photosynthesis; plant rhizosphere microbial community; immunity of aquatic animals; and forest tree cultivation. The analysis covers 325 966 scientific research in General Agricultural and Biological Sciences in online tool SciVal (Scopus). Most frequently occurred keywords indexed in the research area are patients, cells, humans. Three subject area were identified with the combination of cluster analysis with VosViewer: „Medicine“, „Biochemistry, Genetic and Molecular Biology“, „Engineering“. Nearly half the papers (49,3 %) were published by the following three countries: the United States, China and the United Kingdom. Russia's contribution to the global ranking is 1,8 %. The most popular journals by average number of publication produced in the United Kingdom. Web of Science data analyzed with a tool InCites. The analysis covers 141 010 papers in categories „Agricultural Economics & Policy“, „Agricultural Engineering“, „Agriculture, Dairy & Animal Science“, „Agriculture, Multidisciplinary“. Сompilation of bibliometric maps allows to identify the commonly used keywords: evidence, pretreatment, cattle, growth. Four research themes were identified with the combination of cluster analysis: „Material Science Multidisciplinary“, „Biochemistry and Molecular Biology“, „Engineering Electrical Electronic“, „Chemistry, Physical“. In the Web of Science, the most cited journals have been taken by the company „Elsiever“. The study revealed that the Scopus is a more developed database on the direction of agriculture. The potential of Russian journals is determined by sampling journals in the RSCI by the number of citations. This review provides an in-depth understanding of existing agricultural trends in this research domain.