Efficient simplification of point-sampled surfaces
Impact in
Classified as
- Journal
- RWTH Publications (RWTH Aachen)
In The Last Decade
doi.org/w2291166 →Countries where authors are citing Efficient simplification of point-sampled surfaces
This map shows the geographic impact of Efficient simplification of point-sampled surfaces. 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 Efficient simplification of point-sampled surfaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Efficient simplification of point-sampled surfaces more than expected).
Fields of papers citing Efficient simplification of point-sampled surfaces
This network shows the impact of Efficient simplification of point-sampled surfaces. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Efficient simplification of point-sampled surfaces.
About Efficient simplification of point-sampled surfaces
This paper, published in 2002, received 526 indexed citations . Written by Mark V. Pauly, Markus Groß and Leif Kobbelt covering the research area of Computer Graphics and Computer-Aided Design and Computational Mechanics. It is primarily cited by scholars working on Computational Mechanics (294 citations), Computer Graphics and Computer-Aided Design (259 citations), Computer Vision and Pattern Recognition (237 citations), Geology (162 citations) and Environmental Engineering (138 citations). Published in RWTH Publications (RWTH Aachen).
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/w2291166.