R. Springmeyer

About

R. Springmeyer is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Sociology and Political Science. According to data from OpenAlex, R. Springmeyer has authored 3 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Graphics and Computer-Aided Design and 1 paper in Sociology and Political Science. Recurrent topics in R. Springmeyer’s work include Data Visualization and Analytics (3 papers), Computer Graphics and Visualization Techniques (2 papers) and 3D Surveying and Cultural Heritage (1 paper). R. Springmeyer is often cited by papers focused on Data Visualization and Analytics (3 papers), Computer Graphics and Visualization Techniques (2 papers) and 3D Surveying and Cultural Heritage (1 paper). R. Springmeyer collaborates with scholars based in United States. R. Springmeyer's co-authors include Nelson Max, Brian Cabral and Meera Blattner and has published in prestigious journals such as ACM SIGGRAPH Computer Graphics and IEEE Visualization.

In The Last Decade

Co-authorship network of co-authors of R. Springmeyer i

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Fields of papers citing papers by R. Springmeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by R. Springmeyer

Since Specialization

Citations

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