A Bibliometric Analysis of Research on Historical Buildings and Digitization

The wealth of published data are valuable because, in addition to contributing the advancement scientific, technical, and policy knowledge, they can also provide critical information guidance regarding content, subject changes, trends that demand greater attention. In 21st century, digital technologies play an increasingly important role “data capture”, “building management”, “virtual reconstruction”, restoration”. indispensable technology addressing restoration” has resulted publication several high-quality publications. this study, we retrieve textual from Web Science mine content documentary using COOC, VOSviewer, CiteNetwork, academic influence evaluation (AIE) software gain insights into prospects opportunities for historic architecture digitization research. results indicate progress been made research on use conservation buildings 2019 2023, but cross-disciplinary, cross-institutional, cross-border collaboration should be enhanced. frontiers identified photogrammetry, 3D modeling, point cloud, deep learning will require sustained attention near future. Additionally, computational analyses reveal Italian institutions authors have dominated field recent years. A new strategy framework data-driven bibliometric analysis involving historical techniques presented study. Based general methods, study innovatively explores scientific knowledge base flow highly cited articles, provides comprehensive indicators such as H-index, G-index, P-index, Z-index high-impact journals, institutions, authors, proposes a COOC-based idea address consistency sources among multiple software.