Year: 2025
Type: article
Abstract: This study conducts a bibliometric analysis to explore the intellectual landscape of research on the transformation of man, machine, and the future. Drawing on data from the Scopus database, the analysis examines 1,105 publications between 2000 and 2024 using VOSviewer for co-authorship, keyword co-occurrence, and citation mapping. The results identify "man machine systems" as the conceptual core of the field, linking major themes such as artificial intelligence, robotics, Industry 4.0, and human-robot interaction. Temporal mapping shows a shift from early focus on mechanical integration toward recent interest in algorithmic decision-making, automation, and socio-economic implications, including employment. Author and country collaboration networks reveal strong contributions from China and the United States, while emerging research gaps are observed in the areas of ethical governance, labor transformation, and interdisciplinary integration. This study provides a data-driven synthesis of how the discourse on human-machine transformation is evolving and offers strategic insights for future research directions.
Author: Loso Judijanto
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4412381634