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.
Dryad
20071.7k citationsMichael Isard, Mihai Budiu et al.profile →
Implementing remote procedure calls
19841.1k citationsAndrew Birrell et al.ACM Transactions on Computer Systemsprofile →
Autonet: a high-speed, self-configuring local area network using point-to-point links
1991491 citationsMichael Schroeder, Andrew Birrell et al.profile →
Dryad
2007404 citationsMichael Isard, Mihai Budiu et al.ACM SIGOPS Operating Systems Reviewprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Andrew Birrell
Since
Specialization
Citations
This map shows the geographic impact of Andrew Birrell'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 Andrew Birrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Birrell more than expected).
This network shows the impact of papers produced by Andrew Birrell. 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 Andrew Birrell. The network helps show where Andrew Birrell may publish in the future.
Co-authorship network of co-authors of Andrew Birrell
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Birrell.
A scholar is included among the top collaborators of Andrew Birrell 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 Andrew Birrell. Andrew Birrell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Isard, Michael & Andrew Birrell. (2007). Automatic mutual exclusion. 3.39 indexed citations
6.
Isard, Michael, Mihai Budiu, Yuan Yu, Andrew Birrell, & Dennis Fetterly. (2007). Dryad. ACM SIGOPS Operating Systems Review. 41(3). 59–72.404 indexed citations breakdown →
7.
Birrell, Andrew, et al.. (2006). Implementing Portable Desktops: a New Option and Comparisons. 20.6 indexed citations
8.
Abadi, Martı́n, Andrew Birrell, & Ted Wobber. (2005). Access control in a world of software diversity. 22–22.6 indexed citations
9.
Lillibridge, Mark, Sameh Elnikety, Andrew Birrell, Mike Burrows, & Michael Isard. (2003). A Cooperative Backup System. Infoscience (Ecole Polytechnique Fédérale de Lausanne).6 indexed citations
10.
Lillibridge, Mark, Sameh Elnikety, Andrew Birrell, Mike Burrows, & Michael Isard. (2003). A cooperative internet backup scheme. USENIX Annual Technical Conference. 3–3.111 indexed citations
Schroeder, Michael, Andrew Birrell, & Roger M. Needham. (1983). Experience with Grapevine: The Growth of a Distributed System (Summary).. 141–142.1 indexed citations
18.
Birrell, Andrew, Roy Levin, Roger M. Needham, & Michael Schroeder. (1981). Grapevine. ACM SIGOPS Operating Systems Review. 15(5). 178–179.12 indexed citations
19.
Birrell, Andrew & Roger M. Needham. (1980). A Universal File Server. IEEE Transactions on Software Engineering. SE-6(5). 450–453.46 indexed citations
20.
Needham, Roger M. & Andrew Birrell. (1977). The CAP filing system. ACM SIGOPS Operating Systems Review. 11(5). 11–16.10 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.