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.
A view of cloud computing
20105.7k citationsArmando Fox, Rean Griffith et al.profile →
This map shows the geographic impact of Armando Fox'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 Armando Fox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armando Fox more than expected).
This network shows the impact of papers produced by Armando Fox. 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 Armando Fox. The network helps show where Armando Fox may publish in the future.
Co-authorship network of co-authors of Armando Fox
This figure shows the co-authorship network connecting the top 25 collaborators of Armando Fox.
A scholar is included among the top collaborators of Armando Fox 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 Armando Fox. Armando Fox is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cook, Henry, Ekaterina Gonina, Shoaib Kamil, et al.. (2011). CUDA-level performance with python-level productivity for Gaussian mixture model applications. 7–7.10 indexed citations
11.
Bodík, Peter, Rean Griffith, Charles Sutton, et al.. (2009). Statistical machine learning makes automatic control practical for internet datacenters. Edinburgh Research Explorer (University of Edinburgh). 12.142 indexed citations
12.
Xu, Wei, Ling Huang, Armando Fox, David A. Patterson, & Michael I. Jordan. (2008). Mining console logs for large-scale system problem detection. 4–4.82 indexed citations
13.
Goldszmidt, Moisés, Ira L. Cohen, Armando Fox, & Steve Zhang. (2005). Three research challenges at the intersection of machine learning, statistical induction, and systems. 10–10.10 indexed citations
14.
Chen, Mike Y., et al.. (2004). Path-based faliure and evolution management. Networked Systems Design and Implementation. 23–23.232 indexed citations
Fox, Armando, et al.. (2002). When Does Fast Recovery Trump High Reliability?.9 indexed citations
20.
Fox, Armando, et al.. (1999). Adapting to network and client variation using infrastructural process proxies: lessons and perspectives. 431–446.2 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.