Brendon Cahoon

433 total citations
11 papers, 286 citations indexed

About

Brendon Cahoon is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Brendon Cahoon has authored 11 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 5 papers in Hardware and Architecture and 3 papers in Information Systems. Recurrent topics in Brendon Cahoon's work include Parallel Computing and Optimization Techniques (5 papers), Distributed systems and fault tolerance (5 papers) and Advanced Data Storage Technologies (4 papers). Brendon Cahoon is often cited by papers focused on Parallel Computing and Optimization Techniques (5 papers), Distributed systems and fault tolerance (5 papers) and Advanced Data Storage Technologies (4 papers). Brendon Cahoon collaborates with scholars based in United States. Brendon Cahoon's co-authors include Kathryn S. McKinley, Zhihong Lu, David Grove, Matthias Hauswirth, Amer Diwan, Perry Cheng, Peter F. Sweeney, Michael Hind, R.K. Cole and Erik Gustafson and has published in prestigious journals such as ACM Transactions on Information Systems, Cancer Cytopathology and Concurrency and Computation Practice and Experience.

In The Last Decade

Brendon Cahoon

11 papers receiving 258 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brendon Cahoon United States 7 184 150 117 111 31 11 286
Mircea Namolaru Israel 5 133 0.7× 260 1.7× 128 1.1× 128 1.2× 60 1.9× 8 322
Scott A. Watterson United States 9 189 1.0× 162 1.1× 59 0.5× 102 0.9× 23 0.7× 12 303
Chet Murthy United States 5 223 1.2× 195 1.3× 101 0.9× 127 1.1× 9 0.3× 8 294
Jean Wolter Germany 6 221 1.2× 205 1.4× 87 0.7× 128 1.2× 12 0.4× 8 322
Christopher A. Vick United States 5 166 0.9× 196 1.3× 65 0.6× 144 1.3× 42 1.4× 7 297
T. Ngo United States 4 176 1.0× 189 1.3× 65 0.6× 105 0.9× 44 1.4× 6 260
V. Krishna Nandivada India 9 152 0.8× 154 1.0× 71 0.6× 69 0.6× 52 1.7× 42 247
Gregg M. Townsend United States 6 167 0.9× 144 1.0× 87 0.7× 139 1.3× 39 1.3× 15 311
Tej Chajed United States 9 237 1.3× 97 0.6× 120 1.0× 191 1.7× 24 0.8× 19 329
Samuel P. Harbison France 6 166 0.9× 143 1.0× 42 0.4× 119 1.1× 18 0.6× 9 273

Countries citing papers authored by Brendon Cahoon

Since Specialization
Citations

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

Fields of papers citing papers by Brendon Cahoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brendon Cahoon

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

All Works

11 of 11 papers shown
2.
Cahoon, Brendon & Kathryn S. McKinley. (2005). Recurrence analysis for effective array prefetching in Java. Concurrency and Computation Practice and Experience. 17(5-6). 589–616. 2 indexed citations
3.
Sweeney, Peter F., Matthias Hauswirth, Brendon Cahoon, et al.. (2004). Using hardware performance monitors to understand the behavior of java applications. 5–5. 65 indexed citations
4.
Cahoon, Brendon & Kathryn S. McKinley. (2002). Data flow analysis for software prefetching linked data structures in Java. 280–291. 25 indexed citations
5.
Cahoon, Brendon & Kathryn S. McKinley. (2002). Simple and effective array prefetching in Java. 86–95. 6 indexed citations
6.
Cahoon, Brendon & Kathryn S. McKinley. (2002). Effective compile-time analysis for data prefetching in java. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 3 indexed citations
7.
Cahoon, Brendon & Kathryn S. McKinley. (2001). Data Flow Analysis for Software Prefetching Linked Data Structures in Java. International Conference on Parallel Architectures and Compilation Techniques. 280–291. 103 indexed citations
8.
Cahoon, Brendon, Kathryn S. McKinley, & Zhihong Lu. (2000). Evaluating the performance of distributed architectures for information retrieval using a variety of workloads. ACM Transactions on Information Systems. 18(1). 1–43. 43 indexed citations
9.
Cahoon, Brendon & Kathryn S. McKinley. (1999). Tolerating Latency by Prefetching Java Objects. 6 indexed citations
10.
Cahoon, Brendon & Kathryn S. McKinley. (1996). Performance evaluation of a distributed architecture for information retrieval. 110–118. 29 indexed citations
11.
Cahoon, Brendon & Kathryn S. McKinley. (1995). Performance Analysis of Distributed Information Retrieval Architectures. 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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