Evi Kneisel
Papers
1
Total Citations
3
H-Index
1
About
Evi Kneisel is a researcher whose work bridges the cutting-edge domains of graph databases, robotic process automation (RPA), and project knowledge management. Her most-cited paper, "Graph databases and robotic process automation: achieving improvement in project knowledge management" (2020), demonstrates a novel approach to addressing a persistent challenge in complex, high-risk projects: the effective management of knowledge in increasingly virtual environments. Through a feasibility study, Kneisel identified a critical gap in existing knowledge processes and proposed a dedicated analytical instance that synergistically combines graph databases with RPA. This work not only highlights her ability to identify practical, scalable solutions for project success but also lays a foundation for future research into automated, intelligent knowledge systems. While her citation count is still growing, the conceptual and methodological contributions of her research are significant, offering a clear pathway for enhancing decision-making and collaboration in project management. Kneisel’s work is particularly valuable for students and researchers interested in the intersection of information technology, automation, and organizational learning.
Research Focus
Key Achievements
Top Papers
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