Jarrett Revels

2 papers and 15 indexed citations i.

About

Jarrett Revels is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jarrett Revels has authored 2 papers receiving a total of 15 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Hardware and Architecture and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jarrett Revels’s work include Algorithms and Data Compression (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Jarrett Revels is often cited by papers focused on Algorithms and Data Compression (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Jarrett Revels collaborates with scholars based in United States. Jarrett Revels's co-authors include Prabhat, R. C. Thomas, Andreas Noack, Maximilian Lam, Jeffrey Regier, Keno Fischer, David J. Schlegel and Jon McAuliffe and has published in prestigious journals such as Journal of Parallel and Distributed Computing and 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

In The Last Decade

Co-authorship network of co-authors of Jarrett Revels i

Fields of papers citing papers by Jarrett Revels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jarrett Revels

Since Specialization
Citations

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