FlowVisor: A Network Virtualization Layer
In The Last Decade
doi.org/w50459625 →Countries where authors are citing FlowVisor: A Network Virtualization Layer
This map shows the geographic impact of FlowVisor: A Network Virtualization Layer. 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 FlowVisor: A Network Virtualization Layer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites FlowVisor: A Network Virtualization Layer more than expected).
Fields of papers citing FlowVisor: A Network Virtualization Layer
This network shows the impact of FlowVisor: A Network Virtualization Layer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the FlowVisor: A Network Virtualization Layer.
About FlowVisor: A Network Virtualization Layer
This paper, published in 2009, received 470 indexed citations . Written by Rob Sherwood, Glen Gibb, Kok-Kiong Yap, Guido Appenzeller, Martín Casado, Nick McKeown and Guru Parulkar covering the research area of Electrical and Electronic Engineering and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (466 citations), Electrical and Electronic Engineering (179 citations) and Information Systems (92 citations).
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/w50459625.