Christian Egger

Papers

Total Citations

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About

Christian Egger is a forward-thinking researcher at the intersection of business process management (BPM) and robotic process automation (RPA). His work focuses on designing integrated platforms that bridge the gap between traditional process management systems and emerging automation technologies, enabling organizations to streamline workflows and enhance operational efficiency. Egger’s most-cited paper, "Towards an Integrated Platform for Business Process Management Systems and Robotic Process Automation" (2022), has garnered 8 citations, reflecting its timely relevance in a rapidly evolving field. By proposing frameworks that unify BPM and RPA, Egger addresses critical challenges in process orchestration, such as scalability and interoperability, offering practical solutions for both researchers and industry practitioners. His contributions are particularly notable for their emphasis on real-world applicability, helping to shape the next generation of intelligent automation. Egger’s work continues to influence discussions on how organizations can leverage automation to achieve digital transformation, making him a key voice in the ongoing evolution of business process technologies.