Jerome Geyer‐Klingeberg

Papers

Total Citations

142

H-Index

About

Jerome Geyer-Klingeberg is a leading voice at the intersection of process mining and robotic process automation (RPA), pioneering frameworks that help organizations identify and automate their most valuable workflows. His seminal 2018 work, "Process Mining and Robotic Process Automation: A Perfect Match," has accumulated over 109 citations, establishing the conceptual foundation for using data-driven process discovery to target automation opportunities. Building on this, his 2019 paper on "Process Selection in RPA Projects" introduced a quantifiable decision-making method, addressing a critical industry need: how to move beyond intuition and systematically prioritize processes for automation in an era where companies seek agile, cost-effective alternatives to large-scale backend integration. By bridging the gap between process analytics and automation deployment, Geyer-Klingeberg’s research provides both the theoretical rigor and practical tools necessary for digital transformation. His work has become essential reading for practitioners and academics alike, shaping how modern enterprises approach the challenge of investing in value-creating activities over routine tasks.