Context-Aware Computing in Transition: A Multi-Dimensional Bibliometric Analysis of Evolution, Structure, and Emerging Trends (۲۰۰۶–۲۰۲۵)

Context-aware computing (CAC) has become a major research area for developing intelligent systems capable of adapting to dynamic environments through contextual information. However, existing studies often focus on limited aspects of CAC without offering a comprehensive understanding of the field's evolution across research dimensions. This study presents a bibliometric analysis of ۱۰,۴۸۵ publications indexed in the Web of Science database between ۲۰۰۶ and ۲۰۲۵, combining publication trend analysis, co-authorship analysis, keyword co-occurrence analysis, thematic clustering, Reference Publication Year Spectroscopy (RPYS), and citation burst detection to investigate the intellectual development, thematic evolution, and collaboration patterns within CAC research. The findings reveal substantial growth in CAC publications, increasing from ۲۷۰ papers in ۲۰۰۶ to ۲,۱۵۱ in ۲۰۲۵. The field has gradually shifted from foundational ubiquitous and pervasive computing research toward data-driven and intelligence-oriented paradigms. Artificial intelligence, particularly deep learning and transformer-based models, has emerged as a major driver of recent advances, while semantic modeling and context representation remain central themes, reflecting the continued importance of foundational paradigms. The analysis also highlights increasing convergence between CAC and related domains such as IoT, edge computing, and distributed infrastructures, alongside expanding applications in healthcare, smart cities, and human-centered systems. Collaboration analysis further indicates a fragmented but multi-centered research structure with limited inter-cluster connectivity. Overall, the study offers a comprehensive overview of the structural, thematic, and temporal evolution of CAC research, revealing how its intellectual foundations, collaboration structures, thematic organization, and research dynamics have co-evolved over the past two decades, providing a unified perspective on the field's long-term evolution.

کلیدواژه ها:

Context-Aware Computing ، Bibliometric analysis ، research trends ، Thematic Evolution ، Citation Burst