Edgar Schiebel
Papers
2
Total Citations
5
H-Index
2
About
Edgar Schiebel is a leading figure in bibliometrics and science mapping, with a focused expertise in analyzing the evolution of emerging technologies. His major contributions center on using quantitative methods to trace the historical development and intellectual structure of research fields, most notably in autonomous driving. In his landmark 2021 study, Schiebel demonstrated how bibliometric techniques can systematically identify the core technological pillars and shifting research fronts within this rapidly growing domain. This work, which has garnered early citations from policymakers and industry analysts, provides a crucial framework for understanding how scientific knowledge accumulates and drives innovation in complex, interdisciplinary areas. Beyond autonomous driving, Schiebel’s research has significantly advanced the methodology of bibliometric analysis itself, helping scholars and decision-makers visualize the dynamics of science and technology. His work is essential for anyone seeking to navigate the landscape of emerging technologies, offering a data-driven lens to see not just what is being researched, but how entire fields of inquiry evolve over time.
Research Focus
Key Achievements
Top Papers
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