Papers

2

Total Citations

79

H-Index

2

About

Christian Dold’s research bridges precision agriculture and robotic neurosurgery, demonstrating a rare versatility in applying engineering principles to radically different fields. His most impactful work, “Applications of Vegetative Indices from Remote Sensing to Agriculture: Past and Future” (2019, 72 citations), provides a comprehensive review of how spectral reflectance data can monitor crop health, optimize irrigation, and predict yields—a foundational resource for researchers advancing sustainable farming through satellite and drone imagery. Dold’s earlier contribution, “MARS — Motor Assisted Robotic Stereotaxy System” (2011, 7 citations), showcases his technical skill in medical robotics, detailing a five-axis robotic frame for stereotactic neurosurgery that enhances precision and reduces manual error. While his citation counts reflect a focused, early-career impact, the breadth of his work—from agricultural remote sensing to surgical automation—highlights a unique interdisciplinary approach. Dold’s ability to translate complex sensing technologies across domains positions him as a researcher who tackles real-world challenges, whether feeding a growing population or improving life-saving surgical procedures.

Research Focus

Key Achievements

2
H-Index
2
Papers
79
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Applications of Vegetative Indices from Remote Sensing to Agriculture: Past and Future
72 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: National Laboratory for Agriculture and the Environment, Diamed Medizintechnik (Germany)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago