Jason Riedy

16 papers and 137 indexed citations i.

About

Jason Riedy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jason Riedy has authored 16 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Jason Riedy’s work include Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and Graph Theory and Algorithms (5 papers). Jason Riedy is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and Graph Theory and Algorithms (5 papers). Jason Riedy collaborates with scholars based in United States, United Kingdom and France. Jason Riedy's co-authors include James Demmel, Yozo Hida, Xiaoye Sherry Li, David A. Bader, W. Kahan, David Ediger, Henning Meyerhenke, Karl Jiang, Mark Frederick Hoemmen and Jeffrey Young and has published in prestigious journals such as SIAM Journal on Scientific Computing, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Mathematical Software.

In The Last Decade

Co-authorship network of co-authors of Jason Riedy i

Fields of papers citing papers by Jason Riedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jason Riedy

Since Specialization
Citations

This map shows the geographic impact of Jason Riedy'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 Jason Riedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Riedy 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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2025