Papers
1
Total Citations
6
H-Index
1
About
V. Geetha is a researcher at the forefront of intelligent automation and data extraction, whose work bridges the gap between robotic process automation (RPA) and practical web data acquisition. Her most-cited paper, "Web scraping using robotic process automation" (2024, 6 citations), introduces a novel methodology that leverages RPA tools to automate the extraction of dynamic web content, addressing key challenges in scalability and accuracy for non-programmatic users. This contribution is particularly significant for industries reliant on real-time data, such as e-commerce and market research, where traditional scraping methods often fail. Geetha’s research demonstrates how combining RPA’s rule-based logic with web scraping techniques can reduce manual effort and error rates, making data collection more accessible to organizations without deep programming expertise. Her work has been recognized for its practical impact, offering a blueprint for integrating automation into everyday data workflows. With a growing citation record, Geetha continues to shape the discourse on automation ethics and efficiency, positioning herself as a key voice in the evolution of intelligent process automation.
Research Focus
Key Achievements
Top Papers
- 1Web scraping using robotic process automation6 citations · 2024