ARC: a self-tuning, low overhead replacement cache
- Journal
- File and Storage Technologies
In The Last Decade
doi.org/w8859256 →Countries where authors are citing ARC: a self-tuning, low overhead replacement cache
This map shows the geographic impact of ARC: a self-tuning, low overhead replacement cache. 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 ARC: a self-tuning, low overhead replacement cache with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ARC: a self-tuning, low overhead replacement cache more than expected).
Fields of papers citing ARC: a self-tuning, low overhead replacement cache
This network shows the impact of ARC: a self-tuning, low overhead replacement cache. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the ARC: a self-tuning, low overhead replacement cache.
About ARC: a self-tuning, low overhead replacement cache
This paper, published in 2003, received 571 indexed citations . Written by Nimrod Megiddo and Dharmendra S. Modha covering the research area of Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (558 citations), Hardware and Architecture (236 citations) and Information Systems (159 citations). Published in File and Storage Technologies.
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/w8859256.