Maja Golcar

Technical University of Munich

Papers

1

Total Citations

11

H-Index

1

About

Maja Golcar is a researcher whose work sits at the intersection of robotics, assistive technology, and healthcare, with a particular focus on improving quality of life for the elderly. Her most cited paper, "The Robot ALIAS as a Database for Health Monitoring for Elderly People" (2013, 11 citations), introduces a novel application of the ALIAS robot as a platform for continuous, non-intrusive health data collection. This contribution demonstrates how social robots can serve not only as companions but as intelligent databases for monitoring vital signs, activity patterns, and behavioral changes in aging populations. Golcar’s work is notable for bridging human-robot interaction with practical geriatric care, offering a scalable solution to support independent living. While her citation count reflects a focused, emerging impact, her research is foundational for studies on robotic health monitoring systems. By integrating robotics with healthcare informatics, Golcar has opened pathways for more responsive, data-driven elder care, making her a key voice in the growing field of assistive robotics for aging societies.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
The Robot ALIAS as a Database for Health Monitoring for Elderly People
11 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago