Papers

3

Total Citations

289

H-Index

3

About

Rajalakshmi Krishnamurthi is a leading researcher at the intersection of intelligent automation, autonomous systems, and smart healthcare. Her work is pivotal in advancing the digital transformation of transportation, particularly through the integration of robotic process automation and artificial intelligence to create safer, more intelligent autonomous vehicles. Her highly cited 2022 survey on autonomous vehicles and intelligent automation (276 citations) comprehensively maps the applications, challenges, and opportunities in this field, establishing a foundational reference for researchers and practitioners. Beyond transportation, Krishnamurthi has made significant contributions to Industry 4.0 through modeling and simulation frameworks, and has addressed critical healthcare challenges with her work on patient-centric smart health systems for managing COVID-19 variants and future pandemics. Her research on IoT-enabled healthcare architectures provides essential guidance for building resilient, resource-efficient medical systems. With a portfolio spanning autonomous mobility, industrial digitalization, and pandemic-ready healthcare, Krishnamurthi’s work demonstrates a consistent focus on applying intelligent automation to solve real-world problems, making her a key voice in the future of smart, automated systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
289
Total Citations
96
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities
276 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Jaypee Institute of Information Technology, University of Arkansas System

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago