V.A. Semenov

Papers

Total Citations

H-Index

About

V.A. Semenov is a researcher specializing in spatial data structures and multidimensional indexing for complex, dynamic 3D environments. His work addresses the critical challenge of efficiently managing and querying large-scale, evolving scenes in computer graphics, CAD/CAM, virtual and augmented reality, and robotics. Semenov’s major contributions include the development of spatial indexing methods based on regular octrees, enabling faster access and manipulation of data in real-time applications. His most cited papers, including "Methods of spatial indexing of dynamic scenes based on regular octrees" (2016) and "Advanced indexing methods for large multidimensional data in complex dynamic scenes" (2013), each with 5 citations, provide foundational reviews and novel approaches for handling the complexity of nD-modeling and project planning. By advancing techniques for organizing and retrieving spatial information, Semenov’s work supports the performance and scalability of systems that rely on dense, changing datasets, making his research valuable for students and engineers building next-generation interactive and modeling tools.