Papers
3
Total Citations
27
H-Index
3
About
Jessica Podda is a leading researcher at the intersection of rehabilitation robotics and multiple sclerosis (MS), dedicated to transforming how balance and upper-limb impairments are assessed and treated. Her work focuses on validating robotic and virtual-augmented environments as precise, sensitive tools for motor function evaluation. In her highly cited 2024 paper, she conducted a SWOT analysis of robotic systems for upper-limb rehabilitation in MS, highlighting their potential to overcome the disease’s complex motor challenges. Podda has also pioneered comparative studies between standard posturography and robotic-assistive devices for dynamic balance assessment, demonstrating that robotic platforms offer more sensitive and objective parameters than traditional clinical scales. With papers accumulating citations in the double digits within just a year or two, her impact is rapidly growing. Her correlational studies provide critical evidence for adopting innovative technologies in clinical practice, making her a key voice in the push toward technology-driven neurorehabilitation. Podda’s work is essential reading for anyone interested in how robotics can improve the lives of people with MS.
Research Focus
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Top Papers
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