Advancements in Fuzzy Research in Pakistan: A Bibliometric Perspective between 1989 and 2023

Abstract

Pakistan, as a developing nation, has contributed to fuzzy research through its researchers, whose work reflects a growing interest in both the theoretical and applied aspects. However, the extent and impact of these contributions remain unexplored in scholarly evaluations. Thus, this study aims to provide a bibliometric analysis of fuzzy research in Pakistan from 1989–2023, utilizing the Web of Science (WoS) core collection database and VOS viewer software. The key bibliometric indicators, including h-index, co-citation analysis, bibliographic coupling, and keyword co-occurrence, have been evaluated. The main findings show a significant growth, with total publications increasing from 346 (1989–2014) to 2,609 (2019–2023). Early research focused on foundational concepts like fuzzy sets and fuzzy logic, while recent studies emphasize applied domains such as decision-making, artificial intelligence, and machine learning. Leading contributors include Muhammad Akram (349 publications, 10,224 citations) and Tahir Mahmood (217 publications, 6,508 citations), with the University of the Punjab (PU) and COMSATS University Islamabad (CUI) emerging as the most productive institutions. Collaboration analysis identifies Saudi Arabia as the primary partner, contributing 50% of co-authored works, and Dragan Pamucar, a prominent collaborator from the University of Belgrade, Serbia. The topical and keyword analysis reveals the focus of the research area and its alignment with global trends in fuzzy theories, as well as a significant contribution across diverse disciplines. Subject areas like business economics, optics, robotics, food sciences, biochemistry, and social sciences have fewer contributors and appear less aligned with global research trends. Institutions can encourage strategic publishing to improve global rankings and citation impact.

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