Papers

11

Total Citations

301

H-Index

8

About

Marlon Dumas is a prominent researcher at the intersection of process mining and robotic process automation (RPA), whose work has fundamentally shaped how organizations identify, analyze, and automate repetitive digital workflows. His research focuses on extracting actionable insights from user interaction logs — fine-grained records of how employees interact with software applications — and translating those insights into deployable automation solutions. Dumas's most influential contribution, "Robotic Process Mining: Vision and Challenges" (2020), has garnered over 125 citations and established a compelling theoretical framework uniting process mining methodology with RPA technology. This vision paper has become a foundational reference for researchers and practitioners exploring intelligent automation. Complementing this, his work on discovering automatable routines, segmenting UI logs, and synthesizing RPA scripts — including the practical tools Action Logger and Robidium — demonstrates a rare ability to bridge rigorous academic inquiry with real-world engineering impact. Particularly notable is his sustained focus on the full automation pipeline: from capturing user behavior, to identifying automation candidates, to generating executable RPA scripts automatically. With nearly 300 cumulative citations across this focused body of work, Dumas has positioned himself as a leading voice in making organizational automation more intelligent, evidence-driven, and accessible to enterprises seeking operational efficiency.

Research Focus

Key Achievements

8
H-Index
11
Papers
301
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Process Mining: Vision and Challenges
125 citations · 2020
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Tartu, Royal North Shore Hospital, University of Melbourne

Top Papers

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    Robotic Process Mining
    16 citations · 2022
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago