Within this scope, Assist. Prof. Adem Yurdunklu, a member of the CILT-AI team, continues to provide individual consultation support in the advanced stages of the AI-Supported Bibliometric Analysis training that he previously delivered to academics. During these consultations, detailed discussions are conducted on how bibliometric analysis methods can be used more effectively in research projects and academic publishing processes.
In this context, a meeting was held with Assist. Prof. Ayşe Şafak from the Department of Psychology, during which the bibliometric analysis process was examined in detail. The session covered topics such as literature search strategies, methods for collecting data from academic databases, preparation of bibliometric datasets, and the use of AI-supported analysis tools. In addition, important stages of bibliometric analysis, such as data visualization, identifying research trends in the field, and analyzing academic collaboration networks, were discussed and explored through practical examples.
Through this individual consultation session, it is aimed to support academics in making more effective use of bibliometric analysis methods in their research processes. The CILT-AI team will continue to support academic productivity and contribute to the wider use of AI-supported research methods through both training programs and individual consultation activities.
