Co-authoring Patterns and Subject Trends in Iranian and World Scientific Research in the Field of Information and Knowledge Organization (2001-2020)

This study aims to analyze and compare the research process of Information and Knowledge Organization field’s in the web of science.

This study is an applied descriptive, with a scientometric approach (co-word analysis and network analysis). The research data is the field of information and knowledge organization in the web of science. Histcit, UCINet and BibExell softwares are used for data analysis and VOSviewer for mapping.

In the last two decades, 8688 works have been indexed by 15139 authors from 110 countries in the web of science. Iran is ranked 24th between 79 works. United States had the most scientific production in the world. Hjorland B. and Leydesdorff L., and in Iran, Alipour-Hafizi and Kousha have received the most productions and citations, respectively. The field of computer science had the largest share in the production of works. The universities of Illinois and the Islamic Azad University have had the largest participation. The most common were vocabulary information retrieval, classification, metadata and digital libraries. The vocabulary of works formed 7 clusters in the world and 5 clusters in Iran. The most important thematic trends in the world, extracting information from social and big data networks, users tagging, RDA, RDF, FRBR, digital libraries and taxonomies and in Iran FRBR, digital libraries, fuzzy information retrieval, ontology and cloud computing, respectively.

Analyzing and comparing the results of this field leads to a better understanding of the prevailing trends and discourse and is a roadmap for education and research in the country.