Less is more: trading a little bandwidth for ultra-low latency in the data center
Impact in
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- Networked Systems Design and Implementation
In The Last Decade
doi.org/w853658 →Countries where authors are citing Less is more: trading a little bandwidth for ultra-low latency in the data center
This map shows the geographic impact of Less is more: trading a little bandwidth for ultra-low latency in the data center. 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 Less is more: trading a little bandwidth for ultra-low latency in the data center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Less is more: trading a little bandwidth for ultra-low latency in the data center more than expected).
Fields of papers citing Less is more: trading a little bandwidth for ultra-low latency in the data center
This network shows the impact of Less is more: trading a little bandwidth for ultra-low latency in the data center. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Less is more: trading a little bandwidth for ultra-low latency in the data center.
About Less is more: trading a little bandwidth for ultra-low latency in the data center
This paper, published in 2012, received 318 indexed citations . Written by Mohammad Alizadeh, Abdul Kabbani, Tom Edsall, Balaji Prabhakar, Amin Vahdat and Masato Yasuda covering the research area of Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (311 citations), Information Systems (231 citations), Electrical and Electronic Engineering (54 citations), Hardware and Architecture (28 citations) and Computer Vision and Pattern Recognition (9 citations). Published in Networked Systems Design and Implementation.
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/w853658.