Background: Meloidogyne incognita is a major pest in various vegetable production with very less management options. The scientometric analysis aims to give a comprehensive picture of M. incognita, a root-knot nematode (RKN) responsible for crop damage worldwide.
Methods: A thorough search of the SCOPUS database was performed using relevant keywords to identify relevant publications of the last 20 years. The bibliometrix package of R statistical programming language was used to generate compelling descriptive statistics, elaborate network visualizations, and other insightful scientometric metrics.
Results: The Journal of Nematology published a higher number of publications with 3212 citations. Aligarh Muslim University and Indian Agricultural Research Institute, India are the most productive institutions whereas, the National Natural Science Foundation of China funded the highest number of research projects. The quantitative analysis and statistics of SCOPUS data offer valuable insight into the research landscape, highlighting the most active nations, institutions, and authors, along with the most-cited articles and burgeoning research directions.
Conclusion: The study provided deep insight into the different research areas which may help to improve the understanding of research patterns and knowledge about M. incognita. Furthermore, the data generated here can be of potential value to researchers and policymakers interested in addressing the challenges associated with M. incognita infestations.
Meloidogyne incognita, bibliometric analysis, SCOPUS, scientific research
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