Parris K. Egbert

35 papers and 333 indexed citations i.

About

Parris K. Egbert is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Control and Systems Engineering. According to data from OpenAlex, Parris K. Egbert has authored 35 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Graphics and Computer-Aided Design and 11 papers in Control and Systems Engineering. Recurrent topics in Parris K. Egbert’s work include Computer Graphics and Visualization Techniques (16 papers), Advanced Vision and Imaging (10 papers) and Human Motion and Animation (9 papers). Parris K. Egbert is often cited by papers focused on Computer Graphics and Visualization Techniques (16 papers), Advanced Vision and Imaging (10 papers) and Human Motion and Animation (9 papers). Parris K. Egbert collaborates with scholars based in United States. Parris K. Egbert's co-authors include David Cline, Justin Talbot, Dan Ventura, Hugo de Garis, Jordan P. Smith, Matthew Jones, Michael A. Goodrich, Bryan S. Morse and Troy Munro and has published in prestigious journals such as ACM Transactions on Graphics, Computer and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Parris K. Egbert i

Fields of papers citing papers by Parris K. Egbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Parris K. Egbert. 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 Parris K. Egbert. The network helps show where Parris K. Egbert may publish in the future.

Countries citing papers authored by Parris K. Egbert

Since Specialization
Citations

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