Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing
- Journal
- UC Berkeley
In The Last Decade
doi.org/w41954286 →Countries where authors are citing Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing
This map shows the geographic impact of Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing. 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 Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing more than expected).
Fields of papers citing Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing
This network shows the impact of Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing.
About Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing
This paper, published in 2001, received 1.3k indexed citations . Written by Ben Y. Zhao, John Kubiatowicz and Anthony D. Joseph covering the research area of Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (1.3k citations), Information Systems (133 citations) and Sociology and Political Science (92 citations). Published in UC Berkeley.
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/w41954286.