A Bibliometric Analysis And Visualisation Of Research Trends In Snow Mold
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Author:
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DEEPIKA BHATIA
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Abstract:
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Snow mold is a fungal infection affecting all types of grasses after the melting of snow. This infection will result in a color change of the grass to pink or grey. Relatively pink snow mold is more severe than grey snow mold, and can even destroy the roots of the grass. The fungus causing snow mold is inactive in summer. This bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “snow mold”. All published articles related to “snow mold” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps. This article had set the objective to consolidate the literature regarding the snow mold and also to find out the trends related to the same. The most active authors are Tronsmo A.M. and Hoshino T. with the highest number of publications and co-authorship links respectively. Raymond J.A. is the author with the highest number of citations. Moriyama M. is the most productive author with the highest citation rate. Canadian Journal of Plant Pathology is the most active journal with the highest number of publications and Plant Phytopathology is the journal with the highest number of co-authorship links. Physiologia Plantarum is the journal with the highest citation. Journal of Phycology is the most productive journal in this research domain with the highest average citations. The most active country is the USA with the highest number of publications, Japan with the highest citations, and Norway with the highest co-authorship linkages. Bulgaria is the country with the highest average citations per publication. Institute of Plant Physiology, Polish Academy of Sciences is the most active organization with the highest publications and co-authorship links. The Medical University of South Carolina is the highly productive organization in this research domain, with the highest number of citations and Hokkaido Natl. Agric. Exp. Station is the organization with the highest average citation.
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Keyword:
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Snow mold, Bibliometric analysis, VOS viewer, Plant disease
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EOI:
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DOI:
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https://doi.org/10.31838/ijpr/2020.SP3.050
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