Information-agnostic flow scheduling for commodity data centers
- Journal
- Rare & Special e-Zone (The Hong Kong University of Science and Technology)
In The Last Decade
doi.org/w7773265 →Countries where authors are citing Information-agnostic flow scheduling for commodity data centers
This map shows the geographic impact of Information-agnostic flow scheduling for commodity data centers. 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 Information-agnostic flow scheduling for commodity data centers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Information-agnostic flow scheduling for commodity data centers more than expected).
Fields of papers citing Information-agnostic flow scheduling for commodity data centers
This network shows the impact of Information-agnostic flow scheduling for commodity data centers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Information-agnostic flow scheduling for commodity data centers.
About Information-agnostic flow scheduling for commodity data centers
This paper, published in 2015, received 205 indexed citations . Written by Wei Bai, Li Chen, Kai Chen, Dongsu Han, Chen Tian and Hao Wang covering the research area of Computer Networks and Communications and Information Systems. It is primarily cited by scholars working on Computer Networks and Communications (195 citations), Information Systems (169 citations) and Hardware and Architecture (32 citations). Published in Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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/w7773265.