Janina Nakladal

Papers

1

Total Citations

109

H-Index

1

About

Janina Nakladal is a leading researcher at the intersection of process mining and robotic process automation (RPA), whose work has fundamentally shaped how organizations discover, analyze, and automate their business processes. Her seminal paper, "Process Mining and Robotic Process Automation: A Perfect Match" (2018), with over 100 citations, established the conceptual and methodological bridge between these two fields, demonstrating how process mining techniques can systematically identify automation opportunities and guide RPA implementation. Nakladal’s contributions extend beyond theory; she has pioneered practical frameworks for using event logs to detect repetitive, rule-based tasks ripe for automation, enabling data-driven decisions that reduce manual effort and operational costs. Her research is widely cited by both academics and industry practitioners, reflecting its direct impact on enterprise automation strategies. Through her work, Nakladal has not only advanced the academic discourse but also provided actionable tools for organizations seeking to leverage process intelligence for digital transformation. Her clear, applied approach makes her a key voice for anyone studying or implementing intelligent automation in complex workflows.

Research Focus

Key Achievements

1
H-Index
1
Papers
109
Total Citations
109
Avg Citations/Paper
🏆 Most Cited Paper
Process Mining and Robotic Process Automation: A Perfect Match.
109 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago