Statistical Standpoint on Scientometrics in Horticultural Domain with Special Reference to Fruits and Vegetables

Abstract

The goal of the study was to examine the trends in recent years by analysing publications on major fruits and vegetables article published in Scopus data base in for 11 years period 2012 - 2022. In this case, the Scopus database was scanned under the heading with the term “Mango” OR “Mangifera indica” AND "Banana" OR "Musa paradisiaca" OR "Musa acuminata" OR "Musa balbisiana" AND "Grape" OR "Vitis vinifera" "AND "Papaya" OR "Carica papaya” AND "oranges" OR "Citrus sinensis" OR "Citrus reticulata" for fruits and "Tomato" OR "Lycopersicon esculentum" AND "onion" OR "Allium cepa" AND "Potato" OR "Solanum tuberosum" AND "Brinjal" OR "Solanum melongena" OR "Cauliflower" OR "Brassica oleracea var. botrytis" for vegetables, and bibliometric information was gathered. The analysis was conducted using Biblioshiny, a user-friendly interface designed for bibliometric analysis. The number of publications, activity index, publication kinds, reference analyses, total citations per year, most common words, collaboration between counties most often cited local authors, most pertinent affiliations, and most pertinent sources were all examined in relation to the research. According to the findings, Indian Journal of Horticulture, Potato journal, Materials Today: Proceedings, Indian Journal of Agricultural Sciences are the journals that publish the most papers on major fruits and vegetables. India and USA had the largest level of collaboration. The phrases genetics. plant breeding, convolutional neural networks, deep learning which are trending topics in horticulture