Najah Mary El-Gharib

University of Ottawa

Papers

2

Total Citations

22

H-Index

2

About

Najah Mary El-Gharib is a rising researcher at the intersection of process mining and robotic process automation (RPA). Her work focuses on systematically bridging these two fields—using process mining to discover, analyze, and monitor organizational workflows, and then deploying RPA software robots to automate the tasks that humans previously performed. Her most influential contribution, a systematic literature review published in 2023, has already garnered 20 citations, reflecting the timely importance of her synthesis. By mapping how process mining can identify which processes are ripe for automation, El-Gharib provides a critical methodological foundation for organizations seeking to implement RPA effectively. Her research addresses a key challenge: determining which human tasks can and should be automated. As a scholar, she is helping to shape the emerging discipline of intelligent automation, offering both practitioners and academics a clearer roadmap for combining data-driven process discovery with robotic execution. Her work is essential reading for anyone interested in the future of work, digital transformation, or the practical integration of AI and automation in enterprise settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Robotic process automation using process mining — A systematic literature review
20 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Ottawa

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago