Cost-aware WWW proxy caching algorithms
Impact in
Classified as
- Authors
- Pei CaoSandy Irani
- Journal
- Minds at UW (University of Wisconsin)
In The Last Decade
doi.org/w6369181 →Countries where authors are citing Cost-aware WWW proxy caching algorithms
This map shows the geographic impact of Cost-aware WWW proxy caching algorithms. 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 Cost-aware WWW proxy caching algorithms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cost-aware WWW proxy caching algorithms more than expected).
Fields of papers citing Cost-aware WWW proxy caching algorithms
This network shows the impact of Cost-aware WWW proxy caching algorithms. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Cost-aware WWW proxy caching algorithms.
About Cost-aware WWW proxy caching algorithms
This paper, published in 1997, received 658 indexed citations . Written by Pei Cao and Sandy Irani covering the research area of Information Systems and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (645 citations), Information Systems (150 citations), Hardware and Architecture (51 citations), Artificial Intelligence (40 citations) and Computer Vision and Pattern Recognition (28 citations). Published in Minds at UW (University of Wisconsin).
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/w6369181.