Yannis Manolopoulos

Papers

Total Citations

H-Index

About

Yannis Manolopoulos is a leading figure in spatial data management and database systems, whose work has fundamentally advanced how we store, query, and analyze multidimensional data. His research centers on spatial access methods, data structures, and query optimization, with a particular focus on quadtrees and their applications. Manolopoulos’s most cited work, "Analysis of the n-dimensional quadtree decomposition for arbitrary hyperrectangles" (1997, 41 citations), provides a groundbreaking closed-form expression for the average number of quadtree nodes required by hyperrectangles in n-dimensional space. This formula unifies and generalizes earlier two-dimensional results, offering a powerful tool for predicting storage and performance in spatial databases. His contributions have been instrumental in enabling efficient handling of complex spatial queries, with applications ranging from geographic information systems to scientific computing. Manolopoulos has also co-authored influential surveys like "Spatial Access Methods" (2000, 9 citations), which synthesizes key techniques in the field. His work has shaped the design of modern spatial indexing and continues to inspire researchers tackling high-dimensional data challenges.