Vikrant Sharma
Papers
1
Total Citations
3
H-Index
1
About
Vikrant Sharma is a leading researcher in the emerging field of Robotic Process Automation (RPA), with a particular focus on optimizing automation strategies for enterprise efficiency. His most cited work, "Enhancing Robotic Process Automation Task Selection: An Integrated Approach Leveraging Process Mining and Feature Extraction" (2023), has already garnered 3 citations, establishing him as a rising voice in the domain. Sharma’s core contribution lies in developing a novel, integrated methodology that combines process mining with feature extraction to systematically identify and prioritize the most suitable tasks for automation. This approach addresses a critical bottleneck in RPA adoption—the challenge of selecting which processes to automate for maximum impact. By moving beyond intuition-based selection, his work provides organizations with a data-driven framework to enhance cost-effectiveness and time savings. Sharma’s research is particularly notable for its practical, industry-relevant focus, bridging the gap between theoretical automation potential and real-world implementation. His findings are essential reading for students and professionals seeking to understand how to strategically deploy RPA technologies in complex organizational environments.
Research Focus
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Top Papers
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