Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Predicting Internet network distance with coordinates-based approaches
Countries citing papers authored by T. S. Eugene Ng
Since
Specialization
Citations
This map shows the geographic impact of T. S. Eugene Ng's research. 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 T. S. Eugene Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. S. Eugene Ng more than expected).
This network shows the impact of papers produced by T. S. Eugene Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T. S. Eugene Ng. The network helps show where T. S. Eugene Ng may publish in the future.
Co-authorship network of co-authors of T. S. Eugene Ng
This figure shows the co-authorship network connecting the top 25 collaborators of T. S. Eugene Ng.
A scholar is included among the top collaborators of T. S. Eugene Ng based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with T. S. Eugene Ng. T. S. Eugene Ng is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Huang, Xin, et al.. (2016). Hyperoptics: a high throughput and low latency multicast architecture for datacenters. IEEE International Conference on Cloud Computing Technology and Science. 46–51.9 indexed citations
7.
Ng, T. S. Eugene, et al.. (2015). Enabling topological flexibility for data centers using omniswitch. IEEE International Conference on Cloud Computing Technology and Science. 4–4.12 indexed citations
Zheng, Jie, T. S. Eugene Ng, Kunwadee Sripanidkulchai, & Zhaolei Liu. (2013). Pacer: Taking the Guesswork Out of Live Migrations in Hybrid Cloud Computing.3 indexed citations
10.
Dinu, Florin & T. S. Eugene Ng. (2012). Synergy2cloud: introducing cross-sharing of application experiences into the cloud management cycle. 6–6.2 indexed citations
Wang, Guohui & T. S. Eugene Ng. (2010). The Impact of Virtualization on Network Performance of Amazon EC2 Data Center. 1–9.474 indexed citations breakdown →
15.
Cai, Zheng, Alan L. Cox, & T. S. Eugene Ng. (2010). Maestro: A System for Scalable OpenFlow Control.163 indexed citations
16.
Nandi, Animesh, Aditya Ganjam, Peter Druschel, et al.. (2007). SAAR: a shared control plane for overlay multicast. Max Planck Digital Library. 5–5.16 indexed citations
17.
Maltz, David A., et al.. (2007). Tesseract: a 4D network control plane. Networked Systems Design and Implementation. 27–27.100 indexed citations
18.
Ng, T. S. Eugene & Hui Zhang. (2004). A network positioning system for the internet. USENIX Annual Technical Conference. 11–11.106 indexed citations
19.
Ng, T. S. Eugene & Hui Zhang. (2002). Global network positioning. ACM SIGCOMM Computer Communication Review. 32(1). 73–73.10 indexed citations
20.
Ng, T. S. Eugene, Ion Stoica, & Hui Zhang. (2001). A Waypoint Service Approach to Connect Heterogeneous Internet Address Spaces. USENIX Annual Technical Conference. 319–332.26 indexed 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.