Papers

2

Total Citations

62

H-Index

2

About

Andreas Horn is a pioneering researcher whose work sits at the intersection of computational neuroscience and clinical neurology, with a primary focus on deep brain stimulation (DBS) and its technical optimization. His major contributions center on advancing the surgical and engineering aspects of DBS, a transformative therapy for movement disorders, psychiatric conditions, epilepsy, and chronic pain. His highly cited 2023 paper, “Advances in Technical Aspects of Deep Brain Stimulation Surgery,” with 54 citations, synthesizes cutting-edge developments that enhance surgical precision and patient outcomes, reflecting his role in bridging engineering innovation with clinical practice. Beyond DBS, Horn’s earlier work in cooperative robotics, such as his 2012 study on “Cooperative n-boundary tracking in large scale environments” (8 citations), demonstrates a foundational expertise in multi-agent systems and spatial exploration—skills he later applied to neural network modeling and brain mapping. This unique trajectory from robotics to neuroscience underscores his interdisciplinary approach. Horn’s impact is evident in his ability to translate complex technical concepts into actionable clinical tools, making him a key figure in modern neuromodulation research.

Research Focus

Key Achievements

2
H-Index
2
Papers
62
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Advances in Technical Aspects of Deep Brain Stimulation Surgery
54 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Brigham and Women's Hospital, Technische Universität Darmstadt

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago