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About the database ScholarIQanswers from OpenAlex & ORCID
How has Mehdi Delrobaei's publication output changed over time?
ScholarIQpublication output · 2009–2025
Output grew0% over the shown period — from 1 works in 2009 to 1 in 2025.
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200920162017201820192021202320242025
What are the most-cited papers on Mehdi Delrobaei?
ScholarIQmost cited works
Towards remote monitoring of Parkinson’s disease tremor using wearable motion capture systems
Mehdi Delrobaei, Sara Memar, Marcus Pieterman, Tyler W. Stratton, Kenneth McIsaac, Mandar Jog
Journal of the Neurological Sciences. 2017105 Citations
Quantification of whole-body bradykinesia in Parkinson's disease participants using multiple inertial sensors
Sara Memar, Mehdi Delrobaei, Marcus Pieterman, Kenneth McIsaac, Mandar Jog
Journal of the Neurological Sciences. 201847 Citations
Using Wearable Technology to Generate Objective Parkinson’s Disease Dyskinesia Severity Score: Possibilities for Home Monitoring
Mehdi Delrobaei, Navid Baktash, Greydon Gilmore, Kenneth McIsaac, Mandar Jog
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 201733 Citations
Characterization of multi-joint upper limb movements in a single task to assess bradykinesia
Mehdi Delrobaei, Stephanie Tran, Greydon Gilmore, Kenneth McIsaac, Mandar Jog
Journal of the Neurological Sciences. 201631 Citations
Towards an intelligent assistive system based on augmented reality and serious games
Fatemeh Ghorbani, Mahsa Farshi Taghavi, Mehdi Delrobaei
S185496201. 202125 CitationsOPEN ACCESS
Related on ScholarIQ
K.N.Toosi University of Technology
Institution
Towards remote monitoring of Parkinson’s disease tremor using wearable motion capture systems
Paper
Quantification of whole-body bradykinesia in Parkinson's disease participants using multiple inertial sensors
Paper
Using Wearable Technology to Generate Objective Parkinson’s Disease Dyskinesia Severity Score: Possibilities for Home Monitoring
Paper
Characterization of multi-joint upper limb movements in a single task to assess bradykinesia
Paper
Towards an intelligent assistive system based on augmented reality and serious games
Paper