Philipp Mayr

This study looks into the dynamics of semantic integration within scientific literature, employing the innovative Divergent Semantic Integration (DSI) metric in conjunction with data from the Web of Science database. Semantic integration, a crucial aspect of knowledge synthesis and innovation, remains a challenging terrain to quantify and analyze effectively. Leveraging the comprehensive repository of scholarly articles in the Web of Science, this research examines the interconnectedness and divergence of ideas across various disciplines and research domains. The DSI metric, designed to capture the semantic proximity and divergence among concepts, offers a nuanced perspective on the evolution and integration of knowledge within the scientific landscape. Through a systematic analysis of bibliographic data, citation patterns, and semantic relationships, this study elucidates the intricate interplay between disciplinary boundaries and interdisciplinary collaboration. Insights gleaned from this investigation cont...

This study looks into the dynamics of semantic integration within scientific literature, employing the innovative Divergent Semantic Integration (DSI) metric in conjunction with data from the Web of Science database. Semantic integration, a crucial aspect of knowledge synthesis and innovation, remains a challenging terrain to quantify and analyze effectively. Leveraging the comprehensive repository of scholarly articles in the Web of Science, this research examines the interconnectedness and divergence of ideas across various disciplines and research domains. The DSI metric, designed to capture the semantic proximity and divergence among concepts, offers a nuanced perspective on the evolution and integration of knowledge within the scientific landscape. Through a systematic analysis of bibliographic data, citation patterns, and semantic relationships, this study elucidates the intricate interplay between disciplinary boundaries and interdisciplinary collaboration. Insights gleaned from this investigation contribute to a deeper understanding of knowledge diffusion, interdisciplinary synergy, and the emergent properties of scientific discourse. Furthermore, the findings hold implications for research evaluation, knowledge mapping, and the fostering of cross-disciplinary innovation in contemporary academia.