BIBLIOMETRIC ANALYSIS OF COMPUTATIONAL COMPLEXITY

In this study, we present a comprehensive bibliometric analysis of computational complexity by examining ۵۴,۶۷۵ records obtained from Crossref and other databases. Following the removal of ۴,۱۹۸ duplicates and ۶۸ incomplete records, a total of ۵۰,۴۰۹ studies were evaluated for eligibility. Systematic review methodologies were employed in accordance with the PRISMA ۲۰۲۰ guidelines to analyze key trends within the field. Our findings underscore the continued significance of foundational work on NP-completeness and algorithmic efficiency. Notably, there has been a substantial increase in research focused on time and space complexity in recent years, reflecting a growing interest in optimizing computational processes. This bibliometric analysis provides valuable insights into the evolution of computational complexity research, emphasizing its critical role in both theoretical advancements and practical applications.

کلیدواژه ها:

Computational Complexity ، Algorithmic Complexity ، Bibliometric Analysis ، Citation Networks ، Complexity Theory