Identifying Key References and International Trends in Transparency: A Scientometric Analysis of Scientific Productions over the Last Decade Yousef Abedi PhD Candidate, Department of Library and Information Science, College of Management, University of Tehran, Tehran, Iran. E-mail: yabedi@ut.ac.ir Nader Naghshineh * *Corresponding Author, Associate Prof., Department of Library and Information Science, College of Management, University of Tehran, Tehran, Iran. E-mail: nnaghsh@ut.ac.ir Mohammad Reza Vasfi Assistant Prof., Department of Library and Information Science, College of Management, University of Tehran, Tehran, Iran. E-mail: mvasfi@ut.ac.ir Abstract Objective Transparency is an interdisciplinary concept that has emerged in multiple management fields such as governance, economy, health, law, media and even religious institutions. Examining the structure of knowledge, developments and current trends in the field of transparency indicates the change of informational approaches (focused on accessibility and disclosure of information) to emerging social approaches. The aim of this study is to identify key references and international trends of the transparency phenomenon at the international level. Accordingly, trends in publication and citation, main actors at the country and organizational levels, leading media outlets including publishers and journals, and established and emerging research fronts based on topics and key terms in the field of transparency have been identified. Methods To extract related scientific productions, the Web of Science Core Collection was utilized, encompassing databases and citation indexes of social and human sciences in journals, conferences, and books. Queries were formulated based on a combination of Title, Author Keywords, and Keyword Plus, refined by the research area of economics, spanning the years 2013 to 2022. Data processing, analysis, and visualization followed scientometric principles, techniques, and concepts. The Clarivate database was consulted for bibliographic data, content, and citation data of scientific productions, while the JCR database was used for data related to scientific journals. Network and overlay maps for citations, co-occurrence of keywords, and their clustering were conducted using the VOS Viewer software. For co- occurrence calculations, a full counting method was applied with threshold.