Vincent Kusters
Papers
2
Total Citations
9
H-Index
2
About
Vincent Kusters is a computational geometer whose work focuses on reconstructing the combinatorial structure of point sets in the plane from partial positional data. His primary research area lies in discrete and computational geometry, specifically addressing the challenge of inferring the full "order type" of a set of points—their relative orientation and arrangement—when only limited information is available. Kusters’s most cited work, "Reconstructing Point Set Order Types from Radial Orderings" (2016, 5 citations), tackles this problem by using radial orderings: for each point, the angular order of all other points around it. This approach provides a powerful method to recover the underlying combinatorial geometry from incomplete data, with applications in pattern recognition, shape analysis, and sensor networks. An earlier version of this work (2014, 4 citations) laid the foundation for these ideas. Though his citation counts are modest, Kusters’s contributions are notable for their theoretical elegance and practical potential, offering a rigorous framework for reconstructing spatial relationships. His research is particularly valuable for students and researchers interested in the intersection of geometry, combinatorics, and algorithm design.
Research Focus
Key Achievements
Top Papers
- 1Reconstructing Point Set Order Types from Radial Orderings5 citations · 2016
- 2Reconstructing Point Set Order Typesfrom Radial Orderings4 citations · 2014