Power Diagrams: Properties, Algorithms and Applications
- Signal Processing
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Authors
- Franz Aurenhammer
- Journal
- SIAM Journal on Computing
In The Last Decade
doi.org/10.1137/0216006 →Countries where authors are citing Power Diagrams: Properties, Algorithms and Applications
This map shows the geographic impact of Power Diagrams: Properties, Algorithms and Applications. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Power Diagrams: Properties, Algorithms and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Power Diagrams: Properties, Algorithms and Applications more than expected).
Fields of papers citing Power Diagrams: Properties, Algorithms and Applications
This network shows the impact of Power Diagrams: Properties, Algorithms and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Power Diagrams: Properties, Algorithms and Applications.
About Power Diagrams: Properties, Algorithms and Applications
This paper, published in 1987, received 526 indexed citations . Written by Franz Aurenhammer covering the research area of Signal Processing, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Graphics and Computer-Aided Design (257 citations), Computer Vision and Pattern Recognition (156 citations) and Computational Mechanics (116 citations). Published in SIAM Journal on Computing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1137/0216006.