Computational Geometry

1.4k papers and 16.6k indexed citations i.

About

The 1.4k papers published in Computational Geometry in the last decades have received a total of 16.6k indexed citations. Papers published in Computational Geometry usually cover Computer Graphics and Computer-Aided Design (1.1k papers), Computer Vision and Pattern Recognition (539 papers) and Computational Theory and Mathematics (405 papers) specifically the topics of Computational Geometry and Mesh Generation (1.1k papers), Digital Image Processing Techniques (300 papers) and Data Management and Algorithms (254 papers). The most active scholars publishing in Computational Geometry are Jonathan Richard Shewchuk, Raimund Seidel, Martin Held, Jack Snoeyink, Marc van Kreveld, Mark H. Overmars, Prosenjit Bose, Timothy M. Chan, Pankaj K. Agarwal and Micha Sharir.

In The Last Decade

Fields of papers published in Computational Geometry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computational Geometry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computational Geometry.

Countries where authors publish in Computational Geometry

Since Specialization
Citations

This map shows the geographic impact of research published in Computational Geometry. 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 papers published in Computational Geometry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Geometry more than expected).

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.

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