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.
An integrated experimental environment for distributed systems and networks
2002880 citationsJay Lepreau, Leigh Stoller et al.ACM SIGOPS Operating Systems Reviewprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Jay Lepreau'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 Jay Lepreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Lepreau more than expected).
This network shows the impact of papers produced by Jay Lepreau. 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 Jay Lepreau. The network helps show where Jay Lepreau may publish in the future.
Co-authorship network of co-authors of Jay Lepreau
This figure shows the co-authorship network connecting the top 25 collaborators of Jay Lepreau.
A scholar is included among the top collaborators of Jay Lepreau 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 Jay Lepreau. Jay Lepreau 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.
Duerig, Jonathon, et al.. (2009). Modeling and emulation of internet paths. Networked Systems Design and Implementation. 199–212.11 indexed citations
2.
Ricci, Robert, Jonathon Duerig, Mike Hibler, et al.. (2007). The flexlab approach to realistic evaluation of networked systems. Networked Systems Design and Implementation. 15–15.20 indexed citations
3.
Eide, Eric, Leigh Stoller, & Jay Lepreau. (2007). An experimentation workbench for replayable networking research. Networked Systems Design and Implementation. 16–16.28 indexed citations
4.
Eide, Eric, Leigh Stoller, Tim Stack, Juliana Freire, & Jay Lepreau. (2006). Integrated scientific workflow management for the Emulab network testbed. USENIX Annual Technical Conference. 33–33.11 indexed citations
5.
Lepreau, Jay, et al.. (2005). ISSUES IN INTEGRATED NETWORK EXPERIMENTATION USING SIMULATION AND EMULATION.2 indexed citations
6.
Hibler, Mike, et al.. (2003). Fast, Scalable Disk Imaging with Frisbee.. USENIX Annual Technical Conference. 283–296.52 indexed citations
7.
Patel, Parveen, David Wetherall, Jay Lepreau, & Andrew Whitaker. (2003). TCP meets mobile code. 6–6.6 indexed citations
Regehr, John, et al.. (2002). Real-Time for the Real World.1 indexed citations
11.
Back, Godmar, Patrick Tullmann, Leigh Stoller, Wilson C. Hsieh, & Jay Lepreau. (2000). Techniques for the design of java operating systems. USENIX Annual Technical Conference. 17–17.22 indexed citations
Reid, Alastair, Matthew Flatt, Leigh Stoller, Jay Lepreau, & Eric Eide. (2000). Knit: component composition for systems software. Operating Systems Design and Implementation. 24.72 indexed citations
Ford, Bryan & Jay Lepreau. (1994). Evolving mach 3.0 to a migrating thread model. 9–9.63 indexed citations
19.
Lepreau, Jay, et al.. (1993). Fast and Flexible Shared Libraries.. 237–252.11 indexed citations
20.
Lepreau, Jay, et al.. (1993). Computer system performance problem detection using time series models. 2.28 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.