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.
Don't settle for eventual
2011329 citationsWyatt Lloyd, Michael J. Freedman et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Wyatt Lloyd'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 Wyatt Lloyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wyatt Lloyd more than expected).
This network shows the impact of papers produced by Wyatt Lloyd. 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 Wyatt Lloyd. The network helps show where Wyatt Lloyd may publish in the future.
Co-authorship network of co-authors of Wyatt Lloyd
This figure shows the co-authorship network connecting the top 25 collaborators of Wyatt Lloyd.
A scholar is included among the top collaborators of Wyatt Lloyd 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 Wyatt Lloyd. Wyatt Lloyd is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Zakharov, Pavel, et al.. (2021). Facebook's Tectonic Filesystem: Efficiency from Exascale.. File and Storage Technologies. 217–231.5 indexed citations
2.
Berger, Daniel S., et al.. (2021). Don't be a blockhead. 144–151.36 indexed citations
3.
Berger, Daniel S., et al.. (2020). Learning Relaxed Belady for Content Distribution Network Caching. Networked Systems Design and Implementation. 529–544.33 indexed citations
4.
Sen, Siddhartha, et al.. (2020). Tolerating Slowdowns in Replicated State Machines using Copilots. Operating Systems Design and Implementation. 583–598.5 indexed citations
5.
Lloyd, Wyatt, et al.. (2020). Gryff: Unifying Consensus and Shared Registers. Networked Systems Design and Implementation. 591–617.6 indexed citations
Crooks, Natacha, et al.. (2017). I can't believe it's not causal! scalable causal consistency with no slowdown cascades. Networked Systems Design and Implementation. 453–468.36 indexed citations
8.
Huang, Qi, et al.. (2017). Popularity prediction of facebook videos for higher quality streaming. 111–123.31 indexed citations
Lu, H., Kaushik Veeraraghavan, J. M. Hunt, et al.. (2015). Existential consistency. 295–310.52 indexed citations
12.
Bronson, Nathan, et al.. (2015). Challenges to adopting stronger consistency at scale. 13–13.19 indexed citations
13.
Lloyd, Wyatt, Michael J. Freedman, Michael Kaminsky, & David G. Andersen. (2014). Don’t Settle for Eventual Consistency. Queue. 12(3). 30–45.1 indexed citations
14.
Lloyd, Wyatt, Michael J. Freedman, Michael Kaminsky, & David G. Andersen. (2014). Don't settle for eventual consistency. Communications of the ACM. 57(5). 61–68.12 indexed citations
15.
Lloyd, Wyatt, Michael J. Freedman, Michael Kaminsky, & David G. Andersen. (2013). A Short Primer on Causal Consistency.. 38.2 indexed citations
16.
Gibson, Garth A., et al.. (2013). PRObE: A Thousand-Node Experimental Cluster for Computer Systems Research. 38(3). 37–39.58 indexed citations
Arnold, Todd, Wyatt Lloyd, Jing Zhao, & Guohong Cao. (2008). IP Address Passing for VANETs. 70–79.35 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.