Rania Khalaf

Papers

4

Total Citations

192

H-Index

4

About

Rania Khalaf is a prominent researcher at the forefront of intelligent process automation, with a particular focus on transforming how businesses leverage artificial intelligence to streamline and modernize their operations. Her most influential work, "From Robotic Process Automation to Intelligent Process Automation" (2020), which has garnered over 116 citations, examines how machine intelligence is reshaping the landscape of business process automation — moving beyond traditional rule-based robotic process automation (RPA) toward more adaptive, AI-driven systems. This paper has become a defining reference in the field, signaling a paradigm shift in enterprise automation thinking. Complementing this, her research on conversational digital assistants demonstrates her interest in human-facing automation interfaces, exploring how natural language technologies can make intelligent process automation more accessible and effective. With nearly 200 citations across her 2020 body of work alone, Khalaf has established herself as a leading voice in the emerging field of intelligent automation. Her research is particularly valuable for practitioners and academics seeking to understand how AI, machine learning, and conversational technologies are converging to redefine the future of work and enterprise process management.

Research Focus

Key Achievements

4
H-Index
4
Papers
192
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
From Robotic Process Automation to Intelligent Process Automation
116 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 7

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago