Kirk W. Cameron

3.3k total citations · 1 hit paper
110 papers, 2.3k citations indexed

About

Kirk W. Cameron is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Kirk W. Cameron has authored 110 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Networks and Communications, 75 papers in Hardware and Architecture and 38 papers in Information Systems. Recurrent topics in Kirk W. Cameron's work include Parallel Computing and Optimization Techniques (75 papers), Advanced Data Storage Technologies (48 papers) and Cloud Computing and Resource Management (34 papers). Kirk W. Cameron is often cited by papers focused on Parallel Computing and Optimization Techniques (75 papers), Advanced Data Storage Technologies (48 papers) and Cloud Computing and Resource Management (34 papers). Kirk W. Cameron collaborates with scholars based in United States, United Kingdom and Greece. Kirk W. Cameron's co-authors include Rong Ge, Xizhou Feng, Wu-chun Feng, Shuaiwen Leon Song, Hung-Ching Chang, Dong Li, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz and Barry Rountree and has published in prestigious journals such as Computer, IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Kirk W. Cameron

106 papers receiving 2.2k citations

Hit Papers

PowerPack: Energy Profiling and Analysis of High-Performa... 2009 2026 2014 2020 2009 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kirk W. Cameron United States 23 1.7k 1.7k 1.2k 504 128 110 2.3k
Hubertus Franke United States 24 1.6k 0.9× 1.1k 0.7× 811 0.7× 359 0.7× 252 2.0× 97 2.0k
Barry Rountree United States 26 1.7k 1.0× 1.6k 0.9× 1.2k 1.0× 468 0.9× 98 0.8× 75 2.1k
Chandra Krintz United States 23 1.4k 0.8× 739 0.4× 942 0.8× 219 0.4× 380 3.0× 140 1.9k
Thilo Kielmann Netherlands 25 1.7k 1.0× 855 0.5× 756 0.6× 128 0.3× 181 1.4× 93 2.0k
Ram Rajamony United States 18 2.3k 1.3× 1.5k 0.9× 1.1k 1.0× 634 1.3× 196 1.5× 28 2.8k
Ioan Raicu United States 29 2.2k 1.3× 515 0.3× 1.4k 1.2× 187 0.4× 139 1.1× 102 2.6k
Youngjae Kim South Korea 24 2.2k 1.3× 1.0k 0.6× 661 0.6× 176 0.3× 233 1.8× 136 2.4k
Carole-Jean Wu United States 24 1.2k 0.7× 933 0.6× 499 0.4× 697 1.4× 408 3.2× 78 2.0k
Hans Vandierendonck United Kingdom 19 817 0.5× 970 0.6× 323 0.3× 268 0.5× 228 1.8× 119 1.3k
Yongwei Wu China 24 1.3k 0.8× 565 0.3× 848 0.7× 279 0.6× 384 3.0× 130 1.8k

Countries citing papers authored by Kirk W. Cameron

Since Specialization
Citations

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

Fields of papers citing papers by Kirk W. Cameron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kirk W. Cameron. 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 Kirk W. Cameron. The network helps show where Kirk W. Cameron may publish in the future.

Co-authorship network of co-authors of Kirk W. Cameron

This figure shows the co-authorship network connecting the top 25 collaborators of Kirk W. Cameron. A scholar is included among the top collaborators of Kirk W. Cameron 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 Kirk W. Cameron. Kirk W. Cameron 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.
Georgakoudis, Giorgis, et al.. (2025). Can Large Language Models Predict Parallel Code Performance?. VTechWorks (Virginia Tech). 1–6.
2.
Georgakoudis, Giorgis, et al.. (2024). An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 741–750. 2 indexed citations
3.
Xu, Li, Yili Hong, Max D. Morris, & Kirk W. Cameron. (2024). Prediction for distributional outcomes in high-performance computing input/output variability. Journal of the Royal Statistical Society Series C (Applied Statistics). 73(3). 561–580. 1 indexed citations
4.
Xu, Li, Yili Hong, Rong Pan, et al.. (2022). Design strategies and approximation methods for high-performance computing variability management. Journal of Quality Technology. 55(1). 88–103. 2 indexed citations
5.
Sensi, Daniele De, et al.. (2021). Power Log’n’Roll: Power-Efficient Localized Rollback for MPI Applications Using Message Logging Protocols. IEEE Transactions on Parallel and Distributed Systems. 33(6). 1276–1288. 2 indexed citations
6.
Yu, Xiaodong, Ya Xiao, Kirk W. Cameron, & Danfeng Yao. (2019). Comparative Measurement of Cache Configurations’ Impacts on Cache Timing Side-Channel Attacks. USENIX Security Symposium. 1 indexed citations
7.
Paul, Arnab K., et al.. (2019). iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 610–620. 11 indexed citations
8.
Lux, Thomas, Layne T. Watson, Bo Li, et al.. (2018). Predictive modeling of I/O characteristics in high performance computing systems. 8. 3 indexed citations
9.
Watson, Layne T., Thomas Lux, Li Xu, et al.. (2018). Predicting system performance by interpolation using a high-dimensional delaunay triangulation. 2. 2 indexed citations
10.
Watson, Layne T., Thomas Lux, Bo Li, et al.. (2018). Computing the Umbrella Neighbourhood of a Vertex in the Delaunay Triangulation and a Single Voronoi Cell in Arbitrary Dimension. 9. 1–8. 1 indexed citations
11.
Roberts, David, et al.. (2015). HpMC. Research Portal (Queen's University Belfast). 167–178. 19 indexed citations
12.
Li, Bo, et al.. (2014). The Power-Performance Tradeoffs of the Intel Xeon Phi on HPC Applications. 1448–1456. 25 indexed citations
13.
Chang, Hung-Ching, Bo Li, Matthew Grove, & Kirk W. Cameron. (2014). How Processor Speedups Can Slow Down I/O Performance. 45. 395–404. 4 indexed citations
14.
Cameron, Kirk W., et al.. (2013). Proceedings of the 1st International Workshop on Energy Efficient Supercomputing. IEEE International Conference on High Performance Computing, Data, and Analytics. 4 indexed citations
15.
Wu, Xingfu, et al.. (2011). Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems. The International Journal of High Performance Computing Applications. 25(3). 342–350. 28 indexed citations
16.
Lu, Yung-Hsiang, Qinru Qiu, Ali R. Butt, & Kirk W. Cameron. (2011). End-to-End Energy Management. Computer. 44(11). 75–77. 10 indexed citations
17.
Watson, Layne T., et al.. (2009). A power aware study for VTDIRECT95 using DVFS. Spring Simulation Multiconference. 107. 6 indexed citations
18.
Ge, Rong, Xizhou Feng, Wu-chun Feng, & Kirk W. Cameron. (2007). CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters. Proceedings of the International Conference on Parallel Processing. 18–18. 168 indexed citations
19.
Feng, Xizhou, Kirk W. Cameron, & Duncan A. Buell. (2006). PBPI: a High Performance Implementation of Bayesian Phylogenetic Inference. 51. 40–40. 14 indexed citations
20.
Feng, Xizhou, Rong Ge, & Kirk W. Cameron. (2005). ARGUS: Supercomputing in 1/10 Cubic Meter.. 20–25. 2 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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