An entire industry – geospatial – and a variety of related industries depend on high-performance CH, Voronoi, and line simplification algorithms, among others. Not to mention their importance in medical imaging applications, tomography (so, in a sense, they directly contribute to healthcare improvements). This should be self-evident, but I can provide further direct evidence if need be; I’ve implemented QuickHull, Visvalingam-Whyatt etc from the papers, and the resulting libraries see enthusiastic use in a variety of sometimes surprising fields. They get lots of attention because the problem domain is well-understood and often resistant to low-hanging optimisation efforts (computational geometry algorithms tend to be difficult to optimise)