This study covers the pattern of organic farming research performance at the global level. The scientific analysis and outcome citations are used to investigate the scientific representation of the country. This study is conducted based on the output publications in organic farming research during the period 2010 to 2019. A total number of 10704 publication data were collected from the Web of Science (WoS) core collection database. BibExcel, Vosviewer, R statistical software, and MS Excel are used for data analysis. The study found different aspects of organic farming research such as increment of publications, document types, prolific authors, network analysis of co-authorship, co-citations of authors, institutions, countries engaged, and source impact of publications. The maximum number of publications was in 2019 with 1413 records, and the minimum number of publications in 2010 with 796 records. The author Lal R has made the highest publications (66). This study indicates the annual scientific production of organic farming, the world perspectives of citation count, collaboration rate, and so on. Researchers have also indicated further research areas using databases such as Scopus, PubMed, and Chemical abstract.

本研究涵盖了全球范围内有机农业研究绩效的模式。科学分析和结果引用用于调查该国的科学代表性。本研究基于 2010 年至 2019 年期间有机农业研究的产出出版物进行。从 Web of Science (WoS) 核心收集数据库中收集了总共 10704 条出版物数据。BibExcel、Vosviewer、R统计软件和MS Excel用于数据分析。该研究发现了有机农业研究的不同方面，例如出版物的增加、文件类型、多产的作者、共同作者的网络分析、作者的共同引用、机构、参与的国家以及出版物的来源影响。2019 年发表的最大数量为 1413 条记录，以及 2010 年的最低出版物数量，有 796 条记录。作者 Lal R 发表了最高的出版物 (66)。这项研究表明了有机农业的年度科学产量、引文计数的世界前景、合作率等。研究人员还使用 Scopus、PubMed 和化学文摘等数据库指出了进一步的研究领域。