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

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Implementation of Victims Detection Framework on Post Disaster Scenario
25 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago