Modelling and optimization of rice production in Nigeria bibliometric analysis and future research

Abstract

Rice production plays a vital role in enhancing employment opportunities, GDP, and food security, thereby contributing to the prosperity of the country. This study aimed to evaluate the current state of research in the field and identify potential areas for future modeling and optimization of rice production. Data were sourced from the reputable academic citation database and research tool, Web of Science, spanning the period from 2012 to May 2023. Bibliometric software, such as Bibliometrix or Biblioshiny, was employed for data analysis. The analysis revealed insights such as 4058 authors contributing to 1965 articles published across 188 journal sources. The most prolific year was 2013, witnessing the publication of 240 articles. China emerged as the most productive nation, contributing 8774 articles, while the journal source "Applied Mathematical Modeling" stood out with 1004 articles. Among individual journals, the University of Tehran's "Journal Source" led with 77 papers. Notably, author Jaber M.Y. demonstrated significant productivity with 23 articles. Additionally, the study proposed several areas for further investigation, focusing on modeling and optimization, with the potential to bolster rice production development in Nigeria and globally.