Tegar Imansyah
Papers
1
Total Citations
25
H-Index
1
About
Tegar Imansyah is a researcher focused on disaster response technologies, particularly in the context of Indonesia’s high vulnerability to earthquakes and other natural hazards. His most-cited work, “Implementation of Victims Detection Framework on Post Disaster Scenario” (2018), has garnered 25 citations and addresses a critical challenge: the need for rapid, efficient victim detection in the chaotic aftermath of seismic events. Imansyah’s framework integrates sensing and communication technologies to accelerate search-and-rescue operations, aiming to reduce response times in unpredictable disaster scenarios. His contributions lie at the intersection of computer science, emergency management, and geospatial analysis, offering practical solutions for life-saving interventions. While his citation count reflects the niche but vital nature of his work, Imansyah’s research has direct implications for policy and practice in disaster-prone regions. By prioritizing real-world applicability over theoretical abstraction, he has helped bridge the gap between academic innovation and field deployment. His efforts underscore the importance of context-driven engineering in mitigating the human toll of natural disasters, making him a notable voice in the growing field of disaster informatics.
Research Focus
Key Achievements
Top Papers
- 1Implementation of Victims Detection Framework on Post Disaster Scenario25 citations · 2018