Artificial Intelligence in Citation Analysis: Transforming Research Evolution

Artificial Intelligence in Citation Analysis: Transforming Research Evolution Digvijaysinh Anil Pawar Research Scholar, Bharati Vidyapeeth (Deemed to be University), and Pune, Yashwantrao Mohite College of Arts, Science and Commerce, Pune Dr. Sachin Suryawanshi Research Guide, Bharati Vidyapeeth (Deemed to be University), Pune Abhijit Kadam Institute of Management and Social Sciences, Solapur Abstract Artificial Intelligence (AI) is transforming citation analysis by shifting it from traditional quantitative metrics to intelligent, context-aware research evaluation systems. This study explores how AI enhances citation analysis within Scient metrics by improving accuracy, scalability, and interpretative depth. The integration of Machine Learning and Natural Language Processing enables automated extraction of citation contexts, trend detection, and predictive analysis of scholarly impact. AI-driven tools such as Scopus and VOS viewer further support knowledge mapping and research visualization. The study highlights that AI improves decision-making in academic evaluation, research funding, and policy formulation. The challenges such as algorithmic bias, transparency issues, and data quality limitations remain critical concerns. The findings suggest that AI significantly transforms citation analysis into a more dynamic and intelligent system, contributing to the evolution of scientific research evaluation while emphasizing the need for ethical and responsible implementation.