A Scientometric Review of Fuzzy Graph Research:Trends, Key Contributions, and Future Directions

Fuzzy graph theory, developed by Lotfi A. Zadeh in the 1960s, addresses imprecise or vague information in various fields, including computer science, engineering, and decision-making. This scientometric review analyzes fuzzy graph research from 1989 to 2023 using bibliometric techniques, citation networks, and co-authorship analysis. Key findings reveal substantial growth in publications and citations, highlighting significant contributors such as Zadeh and prominent researchers like Akram M. and Pal M. The study identifies critical focus areas, including fuzzy graph connectivity, algorithms, and clustering, with significant applications in decision-making, image processing, and network analysis. Collaborations span countries like China, Pakistan, and Saudi Arabia, with significant funding from institutions like the National Natural Science Foundation of China. The review underscores the interdisciplinary nature of fuzzy graph research and its evolving role in solving complex problems. Future research directions include integrating fuzzy graphs into diverse applications and educational initiatives. This analysis provides a comprehensive overview of the field’s development, impact, and potential for future advancements.