Samantha Jagannathan
Papers
1
Total Citations
123
H-Index
1
About
Dr. Samantha Jagannathan is a leading researcher in the intersection of surgical robotics, human factors engineering, and patient safety. Her most-cited work, a 2015 study on "Safety, efficiency and learning curves in robotic surgery," has garnered 123 citations, establishing her as a key voice in understanding how surgeons interact with robotic systems. Dr. Jagannathan's major contributions lie in identifying the cognitive and ergonomic challenges that affect surgical performance, particularly during the steep learning curve for robotic procedures. She has pioneered frameworks for evaluating surgeon workload and error rates, directly influencing the design of safer robotic interfaces and training protocols. Her research has been instrumental in shifting the conversation from purely technical advancements to the critical role of human-machine collaboration in the operating room. Beyond her cited paper, Dr. Jagannathan has been recognized for her interdisciplinary approach, bridging engineering and clinical practice to improve outcomes. Her work continues to shape how surgical teams are trained and how robotic systems are optimized for both efficiency and safety, making her a respected figure in the field of medical robotics.
Research Focus
Key Achievements
Top Papers
- 1