Kevin Huck

1.3k total citations
56 papers, 453 citations indexed

About

Kevin Huck is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Kevin Huck has authored 56 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 35 papers in Hardware and Architecture and 20 papers in Information Systems. Recurrent topics in Kevin Huck's work include Parallel Computing and Optimization Techniques (35 papers), Distributed and Parallel Computing Systems (23 papers) and Advanced Data Storage Technologies (21 papers). Kevin Huck is often cited by papers focused on Parallel Computing and Optimization Techniques (35 papers), Distributed and Parallel Computing Systems (23 papers) and Advanced Data Storage Technologies (21 papers). Kevin Huck collaborates with scholars based in United States, Spain and Germany. Kevin Huck's co-authors include Allen D. Malony, Alan Morris, Sameer Shende, Edward F. Bell, Hartmut Kaiser, Jesús Labarta, Judit Giménez, Barbara Chapman, Boyana Norris and Allan Porterfield and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, SIAM Journal on Scientific Computing and Parallel Computing.

In The Last Decade

Kevin Huck

53 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Huck United States 12 365 300 157 52 29 56 453
Hongzhang Shan United States 13 606 1.7× 487 1.6× 162 1.0× 31 0.6× 38 1.3× 46 705
Dries Kimpe United States 16 482 1.3× 208 0.7× 159 1.0× 88 1.7× 22 0.8× 33 710
Tom Scogland United States 16 502 1.4× 438 1.5× 222 1.4× 36 0.7× 65 2.2× 43 696
Thomas Heller Germany 9 298 0.8× 279 0.9× 108 0.7× 15 0.3× 27 0.9× 30 420
Olga Pearce United States 10 297 0.8× 273 0.9× 106 0.7× 25 0.5× 26 0.9× 30 443
David Beckingsale United States 12 311 0.9× 325 1.1× 87 0.6× 21 0.4× 30 1.0× 25 461
Tom Goodale Germany 10 351 1.0× 177 0.6× 82 0.5× 163 3.1× 11 0.4× 18 539
Joseph Schuchart United States 9 178 0.5× 185 0.6× 88 0.6× 25 0.5× 91 3.1× 30 322
Filippo Gioachin United States 7 219 0.6× 123 0.4× 143 0.9× 18 0.3× 11 0.4× 15 308
Rahulkumar Gayatri United States 6 141 0.4× 151 0.5× 39 0.2× 15 0.3× 32 1.1× 16 344

Countries citing papers authored by Kevin Huck

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Huck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Huck

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Huck. A scholar is included among the top collaborators of Kevin Huck 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 Kevin Huck. Kevin Huck 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.
Huck, Kevin, Sameer Shende, Allen D. Malony, et al.. (2025). Preparing the TAU performance system for exascale and beyond. The International Journal of High Performance Computing Applications. 39(4). 532–552. 1 indexed citations
2.
Coti, Camille, Yann Pfau‐Kempf, Markus Battarbee, et al.. (2024). Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization. Espace ÉTS (ETS). 996–1005.
3.
Srinivasan, Ramesh, et al.. (2024). SOMA: Observability, monitoring, and in situ analytics for exascale applications. Concurrency and Computation Practice and Experience. 36(19). 5 indexed citations
4.
Huck, Kevin. (2022). Broad Performance Measurement Support for Asynchronous Multi-Tasking with APEX. 20–29. 3 indexed citations
5.
D’Azevedo, E., et al.. (2021). Memory reduction using a ring abstraction over GPU RDMA for distributed quantum Monte Carlo solver. Civil War Book Review. 1–9. 1 indexed citations
6.
Brandt, Steven R., et al.. (2020). JetLag: An Interactive, Asynchronous Array Computing Environment. Practice and Experience in Advanced Research Computing. 8–12.
7.
Coti, Camille, Kevin Huck, Seyong Lee, et al.. (2020). OpenACC Profiling Support for Clang and LLVM using Clacc and TAU. Espace ÉTS (ETS). 38–48. 5 indexed citations
8.
Huck, Kevin, et al.. (2019). The Case for a Common Instrumentation Interface for HPC Codes. 33–39. 6 indexed citations
9.
Huck, Kevin, et al.. (2019). Runtime Adaptive Task Inlining on Asynchronous Multitasking Runtime Systems. Civil War Book Review. 1–10. 4 indexed citations
10.
Malony, Allen D., et al.. (2019). A Plugin Architecture for the TAU Performance System. 1–11. 4 indexed citations
11.
Pouchard, Line, et al.. (2018). Prescriptive provenance for streaming analysis of workflows at scale. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 3 indexed citations
12.
Xie, Cong, Wei Xü, Kevin Huck, et al.. (2018). Performance Visualization for TAU Instrumented Scientific Workflows. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 333–340. 3 indexed citations
13.
Malik, Abid M., et al.. (2016). ARCS: Adaptive Runtime Configuration Selection for Power-Constrained OpenMP Applications. 461–470. 13 indexed citations
14.
Zhang, Xuechen, Hasan Abbasi, Kevin Huck, & Allen D. Malony. (2016). WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows. Procedia Computer Science. 80. 1507–1518. 8 indexed citations
15.
Huck, Kevin, Allan Porterfield, Hartmut Kaiser, et al.. (2015). An Autonomic Performance Environment for Exascale. Supercomputing Frontiers and Innovations. 2(3). 18 indexed citations
16.
Giménez, Judit, et al.. (2011). Unveiling Internal Evolution of Parallel Application Computation Phases. QRU Quaderns de Recerca en Urbanisme. 78. 155–164. 6 indexed citations
17.
Casas, Marc, et al.. (2011). Trace Spectral Analysis toward Dynamic Levels of Detail. QRU Quaderns de Recerca en Urbanisme. 69. 332–339. 2 indexed citations
18.
Huck, Kevin, Óscar Hernández, Sunita Chandrasekaran, et al.. (2008). Capturing performance knowledge for automated analysis. IEEE International Conference on High Performance Computing, Data, and Analytics. 49. 12 indexed citations
19.
Norris, Boyana, Kevin Huck, Lois Curfman McInnes, et al.. (2008). A component infrastructure for performance and power modeling of parallel scientific applications. 1–11. 14 indexed citations
20.

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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