Cognitive technology knowledge map: A study based on word co-occurrence analysis

This article aims to identify and analyze the knowledge structure and key trends within the field of cognitive technologies, providing insights for researchers and practitioners. Scientometric methods and co-word analysis were employed. In total, 446 articles published in the Web of Science database from 1975 to February 2025 were examined. In total, 1892 keywords were extracted and analyzed using word co-occurrence analysis to identify conceptual clusters and connections between them. The number of publications in cognitive technologies has significantly increased, demonstrating the growing importance of the field. Co-word analysis revealed six main conceptual clusters and 354 connections between them, with a total link strength of 536. These clusters encompass topics such as cognitive technologies, artificial intelligence, machine learning, cognitive computing, deep learning, big data, the Internet of Things, neural networks, natural language processing, and computer vision, highlighting the interdisciplinary nature of the field. Cognitive technologies are strongly interconnected with various scientific and technological domains. This research provides a comprehensive overview of the knowledge map and research trends in this field. The findings can assist researchers in identifying research gaps and future directions, and inform policymakers in making decisions regarding development and investment in cognitive technologies.