The scientific enterprise has always required reliable mechanisms to observe, evaluate, and understand its own growth. From the earliest philosophical reflections on the accumulation of knowledge to contemporary computational systems capable of mapping millions of scholarly documents, bibliometrics and scientometrics have emerged as the primary intellectual infrastructures through which science studies itself. This article develops a comprehensive and theoretically grounded reconstruction of the evolution, structure, and analytical capacities of bibliometric science by integrating classical foundations with modern methodological frameworks. Drawing exclusively on authoritative literature ranging from the pioneering work of Price, Pritchard, and Garfield to recent methodological syntheses by Donthu, Chen, Zupic, and others, this study positions bibliometrics not merely as a set of quantitative techniques but as a coherent epistemic system for understanding the production, diffusion, and evaluation of knowledge.

The article argues that bibliometrics must be understood as both a descriptive and normative discipline. Descriptively, bibliometric indicators such as citations, co authorship networks, keyword co occurrence, and journal metrics capture the cumulative advantage processes through which scientific knowledge grows and stratifies. Normatively, these indicators influence funding decisions, career trajectories, journal hierarchies, and national research policies. Through a deep theoretical engagement with the sociology of science, information science, and research evaluation, the article demonstrates how bibliometric tools act as boundary objects connecting researchers, institutions, policymakers, and publishers. The dual character of bibliometrics as both measurement and governance makes its theoretical foundations particularly consequential.

Using methodological frameworks articulated in the bibliometrix software ecosystem, CiteSpace, and science mapping approaches, this article reconstructs the intellectual structure of bibliometrics itself. It examines how keyword analysis, co citation networks, and thematic evolution models generate insights into the cognitive and social organization of scientific fields. The methodological discussion highlights how bibliometric research has matured from simple frequency counts to multidimensional network based representations that reveal emerging trends, paradigm shifts, and interdisciplinary convergence. By situating these tools within the broader history of scientometric thought, from Nalimov’s naukometriya to contemporary dual map overlays, the article establishes a continuous lineage of theoretical innovation.