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.profile →
GENI: A federated testbed for innovative network experiments
2014389 citationsMark Berman, Jeffrey S. Chase et al.Computer Networksprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
hero ref
This map shows the geographic impact of Robert Ricci'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 Robert Ricci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Ricci more than expected).
This network shows the impact of papers produced by Robert Ricci. 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 Robert Ricci. The network helps show where Robert Ricci may publish in the future.
Co-authorship network of co-authors of Robert Ricci
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Ricci.
A scholar is included among the top collaborators of Robert Ricci 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 Robert Ricci. Robert Ricci 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.
Duplyakin, Dmitry, Robert Ricci, Gary Wong, et al.. (2019). The design and operation of cloudlab. USENIX Annual Technical Conference. 1–14.122 indexed citations
2.
Du, Min, et al.. (2019). Fluorescence: Detecting Kernel-Resident Malware in Clouds. 367–382.2 indexed citations
3.
Duplyakin, Dmitry, et al.. (2018). Taming performance variability. Operating Systems Design and Implementation. 409–425.40 indexed citations
Ricci, Robert, et al.. (2014). Introducing CloudLab: Scientific Infrastructure for Advancing Cloud Architectures and Applications.. 39(6). 36–38.166 indexed citations
10.
Berman, Mark, Jeffrey S. Chase, Lawrence H. Landweber, et al.. (2014). GENI: A federated testbed for innovative network experiments. Computer Networks. 61. 5–23.389 indexed citations breakdown →
Hibler, Mike, et al.. (2010). Trusted disk loading in the Emulab network testbed. 1–8.5 indexed citations
15.
Duerig, Jonathon, et al.. (2009). Modeling and emulation of internet paths. Networked Systems Design and Implementation. 199–212.11 indexed citations
16.
Ricci, Robert & Jonathon Duerig. (2008). Securing the Frisbee multicast disk loader. USENIX Security Symposium. 3.1 indexed citations
17.
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
Hibler, Mike, et al.. (2003). Fast, Scalable Disk Imaging with Frisbee.. USENIX Annual Technical Conference. 283–296.52 indexed citations
20.
Ricci, Robert. (2003). Move From Product To Customer Centric. Quality progress. 36(11). 22–29.1 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.