Dimensional Classification of Science: A Comprehensive Study

Abstract

This paper presents a thorough investigation into the classification of science by dimension, aiming to provide a comprehensive framework for understanding the multidimensional nature of scientific knowledge. Recognizing the complexity and diversity of scientific disciplines, methodologies, and research areas, we propose an integrative approach that accounts for multiple dimensions along which science can be classified and characterized. Drawing upon insights from bibliometrics, scientometrics, and science mapping techniques, we explore various dimensions of science, including disciplinary, thematic, methodological, geographical, and temporal dimensions. Through a systematic analysis of existing classification schemes, citation networks, and research landscapes, we identify common patterns, clusters, and intersections across different dimensions, shedding light on the interconnectedness and evolution of scientific knowledge domains. Moreover, we examine the implications of dimensional classification for research funding, collaboration dynamics, and interdisciplinary knowledge integration. By synthesizing findings from diverse disciplinary perspectives, this study contributes to a deeper understanding of the structural and conceptual organization of science and provides a basis for future research on science classification and mapping methodologies.