Eleonora Veglianti
Papers
2
Total Citations
250
H-Index
2
About
Eleonora Veglianti’s research sits at the critical intersection of industrial automation, artificial intelligence, and environmental sustainability. Her work explores how the global proliferation of industrial robots—a cornerstone of intelligent manufacturing—can be leveraged to address pressing ecological challenges. Her most impactful contribution, the 2022 study “Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms,” has garnered 232 citations, establishing her as a leading voice on the environmental dividends of automation. This work meticulously unpacks how and under what conditions robot adoption can curb carbon emissions, revealing nuanced, context-dependent effects that inform both policy and industry strategy. Complementing this, her earlier 2019 study employed complex network analysis to map the spatial-temporal evolution of global industrial robot trade from 1998 to 2017, offering a foundational understanding of how this strategic technology diffuses across nations. Through these contributions, Veglianti provides a rigorous, data-driven framework for aligning technological progress with climate goals, making her research essential for scholars and practitioners navigating the twin imperatives of industrial innovation and environmental stewardship.
Research Focus
Key Achievements
Top Papers
- 1
- 2