This study aims to analyze the knowledge structure of place identity indicators in Iranian studies. Given the conceptual dispersion and lack of a coherent framework in this field, an integrated picture of the existing body of knowledge is developed through a combined analytical approach. In terms of purpose, the study is fundamental, and in terms of nature, it adopts a qualitative-analytical approach. Systematic literature review, thematic analysis, network analysis, and word-frequency analysis were employed. First, through a systematic review of Persian academic databases and based on specific criteria, 95 relevant articles published between 2006 and 2025 were selected. The selected studies were then examined line by line, and place identity indicators were identified and classified through thematic analysis. Finally, network analysis and word-frequency analysis were used to examine relationships among indicators, their degree of concentration, and patterns of co-occurrence. The findings show that place identity indicators can be classified into eight main dimensions: physical-visual, perceptual-semantic, functional-spatial, socio-cultural, natural-climatic, historical-temporal, structural-communicational, and aesthetic-artistic. Word-frequency analysis indicates that physical-visual and perceptual-semantic indicators have received greater attention, whereas natural-climatic, structural-communicational, and aesthetic-artistic indicators have received comparatively less attention. Network analysis, however, shows that the socio-cultural dimension occupies a more central position in the knowledge structure and has stronger connections with other dimensions. Moreover, many existing indicators remain abstract and lack operational and measurable criteria. Overall, by providing a structural representation of place identity indicators, this study can provide a basis for developing conceptual and operational frameworks in future research and for their application in urban and rural planning and design.