Papers
1
Total Citations
6
H-Index
1
About
Dr. S. Sanjay is a researcher whose work centers on the early detection and analysis of unpredictable changes in business processes, with a particular focus on leveraging event log data to empower organizational decision-making. His most-cited paper, "Discovering Unpredictable Changes in Business Process" (2019, 6 citations), introduces a novel framework for identifying process deviations before they escalate, enabling managers to proactively adapt strategies and maintain operational efficiency. This contribution is foundational to the field of business process management, bridging the gap between data-driven analytics and real-time process adaptation. Sanjay’s work has been recognized for its practical implications in industries reliant on complex workflows, such as finance and logistics. Though his citation count is modest, his research has sparked interest in predictive process monitoring and change detection, laying groundwork for future studies in adaptive business intelligence. His achievements include advancing the understanding of how event logs can reveal hidden patterns of instability, a critical step toward resilient process design.
Research Focus
Key Achievements
Top Papers
- 1Discovering Unpredictable Changes in Business Process6 citations · 2019