GPU Computing
Impact in
Classified as
- Journal
- Proceedings of the IEEE
In The Last Decade
doi.org/w3000222 →Countries where authors are citing GPU Computing
This map shows the geographic impact of GPU Computing. 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 GPU Computing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GPU Computing more than expected).
Fields of papers citing GPU Computing
This network shows the impact of GPU Computing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the GPU Computing.
About GPU Computing
This paper, published in 2008, received 809 indexed citations . Written by John D. Owens, Michael Houston, David Luebke, John E. Stone and J. C. Phillips covering the research area of Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Hardware and Architecture (245 citations), Computer Networks and Communications (230 citations), Computer Vision and Pattern Recognition (172 citations), Artificial Intelligence (148 citations) and Electrical and Electronic Engineering (140 citations). Published in Proceedings of the IEEE.
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.
This paper is also available at doi.org/w3000222.