A Comprehensive Analysis and Visualization of Trends and Research Patterns in the Field of IoT Smart Cities

Abstract

Every nation is interested in creating "smart cities," making this a hot topic requiring extensive scientific study. Given the current state of affairs, it is essential to conduct a systematic review to thoroughly understand the current research trends and patterns in this field. It is applied to a corpus of 9,131 papers published between 2010 and 2022 from the Scopus publications database to test the string's effectiveness. This research utilizes text mining and Latent Semantic Analysis (LSA) to delve into the current state-of-the-art study concerning IoT Smart cities research. KNIME was used to conduct the analysis. Predicting the study domain is done with the help of the K-means clustering method. Future researchers can build upon these patterns to strengthen security in various sectors. This report also reviews the history of smart city research, its current position, and its prospects. We help institutions and authors collaborate globally in science. This research analyses Smart City IoT integration trends and patterns in a graphical overview. According to the data, the identified areas are developing and need more research.