Jack Snoeyink

149 papers and 8.7k indexed citations i.

About

Jack Snoeyink is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jack Snoeyink has authored 149 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computer Graphics and Computer-Aided Design, 41 papers in Computer Vision and Pattern Recognition and 34 papers in Signal Processing. Recurrent topics in Jack Snoeyink’s work include Computational Geometry and Mesh Generation (100 papers), Data Management and Algorithms (34 papers) and Computer Graphics and Visualization Techniques (28 papers). Jack Snoeyink is often cited by papers focused on Computational Geometry and Mesh Generation (100 papers), Data Management and Algorithms (34 papers) and Computer Graphics and Visualization Techniques (28 papers). Jack Snoeyink collaborates with scholars based in United States, Canada and The Netherlands. Jack Snoeyink's co-authors include Jane S. Richardson, David Richardson, W.B. Arendall, Andrew Leaver‐Fay, Ian Davis, Gary J. Kapral, Louann W. Murray, Xiaodong Wang, Hamish Carr and D.A. Keedy and has published in prestigious journals such as Nucleic Acids Research, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Computational Chemistry.

In The Last Decade

Co-authorship network of co-authors of Jack Snoeyink i

Fields of papers citing papers by Jack Snoeyink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Snoeyink. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jack Snoeyink. The network helps show where Jack Snoeyink may publish in the future.

Countries citing papers authored by Jack Snoeyink

Since Specialization
Citations

This map shows the geographic impact of Jack Snoeyink's research. 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 Jack Snoeyink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Snoeyink 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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