Manfred Reichert
Papers
9
Total Citations
204
H-Index
6
About
Manfred Reichert is a prominent researcher whose work centers primarily on **Robotic Process Automation (RPA)** and business process automation, with additional contributions to mixed reality and flexible process systems. He has established himself as a leading academic voice in understanding how software bots can streamline rule-based tasks to enhance organizational efficiency and reduce operational costs. Among his most significant contributions is a systematic mapping study and classification framework for RPA (2021), which has garnered 76 citations and serves as a foundational reference for researchers entering the field. His prolific 2020 output further solidified his reputation, with influential work quantifying RPA's measurable effects on processes and staff (42 citations) and a user acceptance model examining the human factors critical to successful RPA deployment (35 citations). A complementary systematic literature review assessed the broader state of RPA research, accumulating 17 citations. Beyond measurement and adoption, Reichert has tackled practical implementation challenges — developing UI design guidelines, checklist-based developer support tools, and real-world automotive industry case studies. His 2019 work on debugging quadrocopter trajectories in mixed reality (14 citations) demonstrates a broader technical range. Collectively, his research bridges theoretical frameworks with actionable industrial guidance, making him an essential reference for practitioners and academics navigating process automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Towards Quantifying the Effects of Robotic Process Automation42 citations · 2020
- 3A User Acceptance Model for Robotic Process Automation35 citations · 2020
- 4
- 5Debugging Quadrocopter Trajectories in Mixed Reality14 citations · 2019
- 6
- 7
- 8
- 9Towards Flexible Process Automation3 citations · 2019