<p>Dissertations, as essential records of doctoral training and advisor-advisee relationships, remain an underutilized resource in scientometric studies, despite their significant potential to enhance our understanding of academic influence and institutional performance. This study leverages the ProQuest Dissertations &amp; Theses Global (PQDT) database to construct an Institutional Academic Genealogy in Computer Science and examine the structural dynamics of academic lineage through Social Network Analysis (SNA). To enrich institutional assessment, four metrics—fecundity, academic employment rate, self-circulation academic employment rate, and academic mobility—are applied to offer additional insights on universities’ roles in talent cultivation and knowledge dissemination. By integrating dissertation-based metrics into scientometric analyses, this study aims to enhance the scientometric potential of dissertations, highlighting their value as a complement to traditional publication and citation measures for evaluating institutional performance. The findings underscore the important role of dissertations in complementing journal-based analyses, advocating for their inclusion in academic evaluation systems, particularly as dissertation databases continue to expand in both coverage and accessibility.</p>