Geoffrey Blake

691 total citations
14 papers, 453 citations indexed

About

Geoffrey Blake is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Geoffrey Blake has authored 14 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 3 papers in Information Systems. Recurrent topics in Geoffrey Blake's work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (6 papers) and Cloud Computing and Resource Management (3 papers). Geoffrey Blake is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (6 papers) and Cloud Computing and Resource Management (3 papers). Geoffrey Blake collaborates with scholars based in United States, United Kingdom and Netherlands. Geoffrey Blake's co-authors include Trevor Mudge, Ronald Dreslinski, Krisztián Flautner, Thomas F. Wenisch, Sudhir Satpathy, Dennis Sylvester, Nathaniel Pinckney, David Blaauw, Reetuparna Das and Korey Sewell and has published in prestigious journals such as IEEE Signal Processing Magazine, Journal of Natural Products and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

In The Last Decade

Geoffrey Blake

13 papers receiving 431 citations

Peers

Geoffrey Blake
Mark W. Goudreau United States
Kevin P. McAuliffe United States
Robert Alverson United States
Manu Awasthi United States
Brian Koblenz United States
Shlomo Kipnis United States
Geoffrey Blake
Citations per year, relative to Geoffrey Blake Geoffrey Blake (= 1×) peers Berkin Özıṣıkyılmaz

Countries citing papers authored by Geoffrey Blake

Since Specialization
Citations

This map shows the geographic impact of Geoffrey Blake'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 Geoffrey Blake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Blake more than expected).

Fields of papers citing papers by Geoffrey Blake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey Blake. 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 Geoffrey Blake. The network helps show where Geoffrey Blake may publish in the future.

Co-authorship network of co-authors of Geoffrey Blake

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Blake. A scholar is included among the top collaborators of Geoffrey Blake 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 Geoffrey Blake. Geoffrey Blake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Blake, Geoffrey, et al.. (2020). Q-Zilla: A Scheduling Framework and Core Microarchitecture for Tail-Tolerant Microservices. 207–219. 21 indexed citations
2.
Blake, Geoffrey, et al.. (2019). Express-Lane Scheduling and Multithreading to Minimize the Tail Latency of Microservices. 194–199. 9 indexed citations
3.
Blake, Geoffrey & Али Саиди. (2015). Where does the time go? characterizing tail latency in memcached. 21–31. 6 indexed citations
4.
Sunwoo, Dam, et al.. (2013). A structured approach to the simulation, analysis and characterization of smartphone applications. 27. 113–122. 25 indexed citations
5.
Sewell, Korey, Ronald Dreslinski, Sudhir Satpathy, et al.. (2012). Swizzle-Switch Networks for Many-Core Systems. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2(2). 278–294. 70 indexed citations
6.
Blake, Geoffrey, Ronald Dreslinski, & Trevor Mudge. (2011). Bloom Filter Guided Transaction Scheduling. 2. 75–86. 20 indexed citations
7.
Blake, Geoffrey, Ronald Dreslinski, Trevor Mudge, & Krisztián Flautner. (2010). Evolution of thread-level parallelism in desktop applications. ACM SIGARCH Computer Architecture News. 38(3). 302–313. 22 indexed citations
8.
Blake, Geoffrey, Ronald Dreslinski, Trevor Mudge, & Krisztián Flautner. (2010). Evolution of thread-level parallelism in desktop applications. 302–313. 66 indexed citations
9.
Blake, Geoffrey, Ronald Dreslinski, & Trevor Mudge. (2009). A survey of multicore processors. IEEE Signal Processing Magazine. 26(6). 26–37. 161 indexed citations
10.
Blake, Geoffrey, Ronald Dreslinski, & Trevor Mudge. (2009). Proactive transaction scheduling for contention management. 156–167. 33 indexed citations
11.
Blake, Geoffrey & Trevor Mudge. (2007). Duplicating and Verifying LogTM with OS Support in the M5 Simulator. 2 indexed citations
12.
Menachery, Mary D., et al.. (1995). Alkaloids from the Neutral Fraction of Telitoxicum krukovii. Heterocycles. 41(7). 1425–1425. 8 indexed citations
13.
Menachery, Mary D., et al.. (1995). Telisatin A, Telisatin B, and Telitoxinone, Three New Aporphinoids from Telitoxicum peruvianum. Journal of Natural Products. 58(12). 1945–1949. 9 indexed citations
14.
Blake, Geoffrey, et al.. (1993). Total Synthesis of Peruvianine, a Phenolic 7-Oxoaprophine Alkaloid of Telitoxicum peruvianum. Heterocycles. 36(11). 2489–2489. 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.

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