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.
What is Twitter, a social network or a news media?
20104.3k citationsHaewoon Kwak, Changhyun Lee et al.profile →
I tube, you tube, everybody tubes
20071.1k citationsMeeyoung Cha, Haewoon Kwak et al.Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)profile →
Analysis of topological characteristics of huge online social networking services
2007610 citationsYong‐Yeol Ahn, Seungyeop Han et al.profile →
Packet-level traffic measurements from the sprint IP backbone
This map shows the geographic impact of Sue Moon'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 Sue Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Moon more than expected).
This network shows the impact of papers produced by Sue Moon. 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 Sue Moon. The network helps show where Sue Moon may publish in the future.
Co-authorship network of co-authors of Sue Moon
This figure shows the co-authorship network connecting the top 25 collaborators of Sue Moon.
A scholar is included among the top collaborators of Sue Moon 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 Sue Moon. Sue Moon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lee, Changhyun, et al.. (2015). Accurate latency-based congestion feedback for datacenters. USENIX Annual Technical Conference. 403–415.66 indexed citations
4.
Moon, Sue, et al.. (2012). Fragile Online Relationship: A First Look at Unfollow Dynamics in Twitter. International Conference on Human-Computer Interaction. 1694–1694.13 indexed citations
Chen, Haibo, Zheng Zhang, Sue Moon, & Yuanyuan Zhou. (2011). Proceedings of the Second Asia-Pacific Workshop on Systems.6 indexed citations
7.
Han, Sangjin, Keon Jang, KyoungSoo Park, & Sue Moon. (2010). PacketShader: Massively Parallel Packet Processing with GPUs to Accelerate Software Routers. Networked Systems Design and Implementation.2 indexed citations
8.
Han, Sangjin, Keon Jang, KyoungSoo Park, & Sue Moon. (2010). PacketShader. 195–206.437 indexed citations breakdown →
9.
Jang, Keon, Sangman Kim, Geoffrey M. Voelker, & Sue Moon. (2009). Implementation and evaluation of a mobile planetlab node.1 indexed citations
10.
Kwak, Haewoon, et al.. (2009). Mining communities in networks: A solution for consistency and its evaluation. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).45 indexed citations
Jang, Keon, et al.. (2008). Improving Delay Estimation with Path Stitching.
13.
Jang, Keon, et al.. (2008). Design consideration for a mobile testbed.1 indexed citations
14.
Cha, Meeyoung, Pablo Rodríguez, Sue Moon, & Jon Crowcroft. (2008). On next-generation telco-managed P2P TV architectures. Max Planck Digital Library. 5–5.72 indexed citations
15.
Kwak, Haewoon, et al.. (2008). Comparison of online social relations in volume vs interaction: A case study of Cyworld. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).138 indexed citations
16.
Han, Shuang, et al.. (2006). Collaborative Blog Spam Filtering Using Adaptive Percolation Search. KAIST Institutional Repository (KAIST). 0–0.23 indexed citations
Schulzrinne, Henning, Nevenka Dimitrova, Angela Sasse, Sue Moon, & Rainer Lienhart. (2004). Proceedings of the 12th annual ACM international conference on Multimedia.93 indexed citations
19.
Moon, Sue & Timothy Roscoe. (2001). Metadata management of terabyte datasets from an IP backbone network: experience and challenges. International Conference on Management of Data. 0–0.7 indexed citations
20.
Cáceres, Rafaela, Nick Duffield, Sue Moon, & Don Towsley. (1999). Inferring link-level performance from end-to-end multicast measurements. Global Communications Conference. 0–0.20 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.