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.
Youtube traffic characterization
2007635 citationsPhillipa Gill, Martin Arlitt et al.profile →
This map shows the geographic impact of Phillipa Gill'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 Phillipa Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillipa Gill more than expected).
This network shows the impact of papers produced by Phillipa Gill. 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 Phillipa Gill. The network helps show where Phillipa Gill may publish in the future.
Co-authorship network of co-authors of Phillipa Gill
This figure shows the co-authorship network connecting the top 25 collaborators of Phillipa Gill.
A scholar is included among the top collaborators of Phillipa Gill 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 Phillipa Gill. Phillipa Gill is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Knockel, Jeffrey, et al.. (2021). How Great is the Great Firewall? Measuring China's DNS Censorship.. USENIX Security Symposium. 3381–3398.8 indexed citations
5.
Gill, Phillipa, et al.. (2020). Triplet Censors: Demystifying Great Firewall’s {DNS} Censorship Behavior. USENIX Security Symposium.12 indexed citations
6.
Nithyanand, Rishab, Brian Schaffner, & Phillipa Gill. (2017). Measuring Offensive Speech in Online Political Discourse. USENIX Security Symposium.5 indexed citations
7.
Choffnes, David, Phillipa Gill, & Alan Mislove. (2017). An Empirical Evaluation of Deployed DPI Middleboxes and Their Implications for Policymakers. SSRN Electronic Journal.7 indexed citations
8.
Razaghpanah, Abbas, Narseo Vallina-Rodríguez, Srikanth Sundaresan, et al.. (2015). Haystack: In Situ Mobile Traffic Analysis in User Space. arXiv (Cornell University).41 indexed citations
9.
Hardy, Seth M., et al.. (2014). Targeted threat index: characterizing and quantifying politically-motivated targeted malware. USENIX Security Symposium. 527–541.24 indexed citations
10.
Viana, Aline Carneiro, Phillipa Gill, & Guillaume Jourjon. (2013). Proceedings of the 2013 workshop on Student workhop. 4(12). 935–57.2 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.