Scientometrics has found many applications in describing, explaining and predicting the scientific status of researchers, educational and research groups, universities, organizations and countries in various national and international arenas. By studying the scientific products of different countries, their status in the production of science can be evaluated. Present study was conducted using a scientometrics approach and using co-word analysis and social network analysis (SNA) to investigate relationships in the field of knowledge organization. In this regard, research indexed in web of science on the topic of “knowledge organization” has been analyzed using software including VOSviewer, Gephi, Publish or Perish. The findings of the study show that the most frequently used topics and words are knowledge organization and classification. Also, the most valuable subject areas were identified based on the maps drawn using the closeness and centrality of indexes, taxonomy, ontology and knowledge organization systems. Co-authorship analysis revealed that the co-authorship network is discrete and has low-density, with a total of 12,491 citations in all articles. Also, the most prolific author is Hjorland, followed by Smiraglia and Dahlberg. using the co-word map of knowledge organization, policymakers can plan appropriately through the knowledge of the research and thematic status of knowledge organization.