Karl Sims

About

Karl Sims is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Karl Sims has authored 6 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Graphics and Computer-Aided Design and 3 papers in Artificial Intelligence. Recurrent topics in Karl Sims’s work include Computer Graphics and Visualization Techniques (4 papers), Music Technology and Sound Studies (3 papers) and Data Visualization and Analytics (2 papers). Karl Sims is often cited by papers focused on Computer Graphics and Visualization Techniques (4 papers), Music Technology and Sound Studies (3 papers) and Data Visualization and Analytics (2 papers). Karl Sims collaborates with scholars based in and . Karl Sims's co-authors include and and has published in prestigious journals such as The Visual Computer, Artificial Life and ACM SIGGRAPH Computer Graphics.

In The Last Decade

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Fields of papers citing papers by Karl Sims

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl Sims. 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 Karl Sims. The network helps show where Karl Sims may publish in the future.

Countries citing papers authored by Karl Sims

Since Specialization

Citations

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