Matt Gibb

Papers

1

Total Citations

2

H-Index

1

About

Dr. Matt Gibb is a pioneering researcher in the field of surgical visualization and urological oncology, with a primary focus on advancing robotic-assisted surgery through three-dimensional (3D) modeling technologies. His most cited work, "Clinical experience of using virtual 3D modelling for pre and intraoperative guidance during robotic-assisted partial nephrectomy" (2021), addresses a critical limitation in modern surgery: the reliance on two-dimensional CT imaging for complex procedures. Gibb’s major contribution lies in demonstrating how virtual 3D models can enhance surgical planning and intraoperative guidance, improving anatomical understanding and potentially reducing complications in kidney cancer surgeries. Although his citation count is currently modest at 2, this work represents a foundational step in a rapidly growing field, highlighting his role in bridging the gap between traditional imaging and immersive digital tools. Gibb’s research is particularly notable for its practical clinical application, offering surgeons a more intuitive way to navigate complex renal anatomy. His achievements underscore a commitment to integrating cutting-edge software into operative workflows, positioning him as an emerging voice in the evolution of precision surgery. For students and researchers, Gibb’s work exemplifies how innovation in medical imaging can directly impact patient outcomes and surgical safety.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Clinical experience of using virtual 3D modelling for pre and intraoperative guidance during robotic-assisted partial nephrectomy
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 14

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago