Design tradeoffs for SSD performance
- Journal
- USENIX Annual Technical Conference
In The Last Decade
doi.org/w6821258 →Countries where authors are citing Design tradeoffs for SSD performance
This map shows the geographic impact of Design tradeoffs for SSD performance. 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 Design tradeoffs for SSD performance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Design tradeoffs for SSD performance more than expected).
Fields of papers citing Design tradeoffs for SSD performance
This network shows the impact of Design tradeoffs for SSD performance. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Design tradeoffs for SSD performance.
About Design tradeoffs for SSD performance
This paper, published in 2008, received 704 indexed citations . Written by Nitin Agrawal, Vijayan Prabhakaran, Ted Wobber, John D. Davis, Mark S. Manasse and Rina Panigrahy covering the research area of Computational Theory and Mathematics and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (692 citations), Hardware and Architecture (319 citations), Information Systems (113 citations), Computational Theory and Mathematics (100 citations) and Artificial Intelligence (64 citations). Published in USENIX Annual Technical Conference.
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/w6821258.