Rania A. Elmanfaloty
Papers
2
Total Citations
16
H-Index
2
About
Rania A. Elmanfaloty is a researcher at the forefront of intelligent transportation and autonomous robotics, with a focus on algorithmic optimization and chaotic dynamics. Her work bridges theoretical computer science and practical engineering, particularly in green transportation and robotic path planning. In her highly cited 2025 study, she systematically compared A* and Dijkstra algorithms for optimal route planning in eco-friendly transport systems, demonstrating how algorithmic efficiency can reduce energy consumption and emissions—a critical contribution to sustainable urban mobility. Her 2024 paper on chaotic sequence-driven path planning introduced a novel approach for autonomous robot terrain coverage, leveraging chaotic systems to enhance exploration efficiency and robustness in complex environments. With each of these works garnering 8 citations, Elmanfaloty’s research has already influenced both academic discourse and applied fields. Her innovative use of chaotic dynamics for real-world navigation problems marks her as a rising voice in the intersection of algorithm design, robotics, and environmental sustainability.
Research Focus
Key Achievements
Top Papers
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