Fast transparent migration for virtual machines
Impact in
Classified as
- Authors
- Michael N. NelsonBeng-Hong Lim
- Journal
- USENIX Annual Technical Conference
In The Last Decade
doi.org/w4461128 →Countries where authors are citing Fast transparent migration for virtual machines
This map shows the geographic impact of Fast transparent migration for virtual machines. 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 Fast transparent migration for virtual machines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fast transparent migration for virtual machines more than expected).
Fields of papers citing Fast transparent migration for virtual machines
This network shows the impact of Fast transparent migration for virtual machines. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fast transparent migration for virtual machines.
About Fast transparent migration for virtual machines
This paper, published in 2005, received 408 indexed citations . Written by Michael N. Nelson and Beng-Hong Lim covering the research area of Computer Networks and Communications, Hardware and Architecture and Information Systems. It is primarily cited by scholars working on Computer Networks and Communications (388 citations), Information Systems (365 citations), Hardware and Architecture (80 citations), Artificial Intelligence (27 citations) and Electrical and Electronic Engineering (15 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/w4461128.