The Internet of Behaviors (IoB) represents an emerging extension of the Internet of Things (IoT). It integrates behavioral science, data analytics, and cutting-edge technologies, including artificial intelligence and machine learning, to analyze, forecast, and influence human behavior within the framework of digital interactions. The integration of behavioral analytics with IoT infrastructure enables organizations to create highly personalized services and optimize decision-making processes across multiple sectors. IoB technology collects and processes data from various interconnected devices, offering real-time insights into user habits, preferences and behavioral patterns. These capabilities are increasingly leveraged in domains such as digital marketing, healthcare, education, smart city development and public policy. Despite growing attention to this topic, the academic literature remains relatively limited and fragmented, often focusing on specific use cases without a comprehensive, multidisciplinary perspective. This study aims to explore the scholarly landscape of IoB by conducting a bibliometric analysis of 114 publications indexed in the SCOPUS database between 2010 and 2025. Using VOSviewer software, the analysis identifies trends in publication frequency, keywords, contributing countries and emerging clusters of research. The findings show a noticeable increase in publications after 2020, indicating a rising interest in the intersection of IoT and behavior-focused technologies. The research further reveals significant thematic fields that highlight the interdisciplinary potential of the IoB. By mapping the intellectual structure of the field, this research provides valuable insights for future studies and highlights the significance of integrating behavioral perspectives into IoT-driven innovations.