Bibliometric Analysis on Identifying ‘Crop Diseases’ Using Dimensions Database
Author(s): Dr. Chikkamanju, Dr. G. Kiran Kumar & Mr. Poornachandra P Naik
Abstract - This research investigation carried out the impact of current research progress in the papers published from 2016 to 2025 in the open access UGC-Journalist Group articles. This study searches the word “Crop Diseases” in the title, abstract, keywords, and text of the article from Dimensions.ai. Bibliometric analysis that turned up 2500 articles between the years of 2016 and 2025. The number of publications steadily increased over the years, with the highest rate of increase during the year 2025, which has the highest number of contributors, 19209 citations, and 527 (21.08%) publications. Overall, China, the USA, and India produced 1256, 331, and 185 articles, respectively. journal of Frontiers in Plant Science with 3572 citations Sharada P. et al., 2016. Jun Liu ranks first with 19 publications, receiving 1,756 citations and an average of 92.42 citations per article. authors participated in co-authorship by nation. 77 out of 105 nations satisfy the requirement by having at least three papers.
Keywords - Crop Diseases, Dimensions.ai, Scientometrics, Bibliometrics, Citations, VOSViewer.
DOI URL: https://doi.org/10.26761/ijrls.11.4.2025.1998
Cite This Article As:, Chikkamanju, Kumar, G. K. & Naik, P.P.. (2025) Bibliometric Analysis on Identifying ‘Crop Diseases’ Using Dimensions Database. International Journal of Research in Library Science (IJRLS), 11(4) 282-290. www.ijrls.in
Copyright © 2025 Author(s) retains the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0.
Paper ID: IJRLS-1998 Page: 282-290 Publication Date: 05 December 2025