Łukasz Szustak

420 total citations
22 papers, 199 citations indexed

About

Łukasz Szustak is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Łukasz Szustak has authored 22 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hardware and Architecture, 15 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Łukasz Szustak's work include Parallel Computing and Optimization Techniques (16 papers), Distributed and Parallel Computing Systems (9 papers) and Advanced Data Storage Technologies (9 papers). Łukasz Szustak is often cited by papers focused on Parallel Computing and Optimization Techniques (16 papers), Distributed and Parallel Computing Systems (9 papers) and Advanced Data Storage Technologies (9 papers). Łukasz Szustak collaborates with scholars based in Poland, Italy and United Kingdom. Łukasz Szustak's co-authors include Roman Wyrzykowski, Alexey Lastovetsky, Marco Lapegna, Paweł Gepner, Giuliano Laccetti, Diego Romano, Bogdan Rosa, Zbigniew Piotrowski, Krzysztof Kurowski and Norbert Meyer and has published in prestigious journals such as Future Generation Computer Systems, IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing.

In The Last Decade

Łukasz Szustak

21 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Łukasz Szustak Poland 9 118 109 42 26 24 22 199
Qingyu Meng United States 10 150 1.3× 155 1.4× 21 0.5× 39 1.5× 68 2.8× 17 270
Rob Van der Wijngaart United States 7 327 2.8× 302 2.8× 31 0.7× 5 0.2× 59 2.5× 11 485
José M. Badía Spain 8 31 0.3× 31 0.3× 19 0.5× 4 0.2× 11 0.5× 40 175
Charles Bacon United States 5 220 1.9× 112 1.0× 64 1.5× 3 0.1× 6 0.3× 10 322
Cameron Smith United States 9 40 0.3× 25 0.2× 3 0.1× 15 0.6× 77 3.2× 26 208
R. M. Loy United States 5 83 0.7× 77 0.7× 10 0.2× 6 0.2× 143 6.0× 7 249
Michael B. Healy United States 12 178 1.5× 171 1.6× 9 0.2× 10 0.4× 3 0.1× 30 483
Qijun Zhang Hong Kong 9 18 0.2× 65 0.6× 16 0.4× 5 0.2× 7 0.3× 22 350
Jérôme Soumagne United States 9 200 1.7× 83 0.8× 64 1.5× 6 0.2× 77 3.2× 20 321
M. Vai United States 10 52 0.4× 67 0.6× 5 0.1× 2 0.1× 11 0.5× 30 327

Countries citing papers authored by Łukasz Szustak

Since Specialization
Citations

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

Fields of papers citing papers by Łukasz Szustak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Szustak

This figure shows the co-authorship network connecting the top 25 collaborators of Łukasz Szustak. A scholar is included among the top collaborators of Łukasz Szustak 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 Łukasz Szustak. Łukasz Szustak 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.
Szustak, Łukasz, et al.. (2025). Prediction model of performance–energy trade-off for CFD codes on AMD-based cluster. Future Generation Computer Systems. 169. 107810–107810.
2.
Szustak, Łukasz, et al.. (2023). Reducing energy consumption using heterogeneous voltage frequency scaling of data-parallel applications for multicore systems. Journal of Parallel and Distributed Computing. 175. 121–133. 7 indexed citations
3.
Groen, Derek, et al.. (2023). Large-Scale Parallelization of Human Migration Simulation. IEEE Transactions on Computational Social Systems. 11(2). 2135–2146. 2 indexed citations
4.
Wyrzykowski, Roman, et al.. (2022). Performance exploration of various C/C++ compilers for AMD EPYC processors in numerical modeling of solidification. Advances in Engineering Software. 166. 103078–103078. 6 indexed citations
5.
Szustak, Łukasz, et al.. (2021). Architectural Adaptation and Performance-Energy Optimization for CFD Application on AMD EPYC Rome. IEEE Transactions on Parallel and Distributed Systems. 32(12). 2852–2866. 6 indexed citations
6.
Laccetti, Giuliano, et al.. (2020). Performance enhancement of a dynamic K-means algorithm through a parallel adaptive strategy on multicore CPUs. Journal of Parallel and Distributed Computing. 145. 34–41. 20 indexed citations
7.
Szustak, Łukasz, et al.. (2020). About the granularity portability of block‐based Krylov methods in heterogeneous computing environments. Concurrency and Computation Practice and Experience. 33(4). 7 indexed citations
8.
Szustak, Łukasz, et al.. (2020). Correlation of Performance Optimizations and Energy Consumption for Stencil-Based Application on Intel Xeon Scalable Processors. IEEE Transactions on Parallel and Distributed Systems. 31(11). 2582–2593. 9 indexed citations
9.
Szustak, Łukasz, et al.. (2020). Dynamic workload prediction and distribution in numerical modeling of solidification on multi‐/manycore architectures. Concurrency and Computation Practice and Experience. 33(11). 3 indexed citations
10.
Szustak, Łukasz, et al.. (2020). Exploration of OpenCL Heterogeneous Programming for Porting Solidification Modeling to CPU‐GPU Platforms. Concurrency and Computation Practice and Experience. 33(4). 5 indexed citations
11.
Szustak, Łukasz, et al.. (2019). Performance portable parallel programming of heterogeneous stencils across shared-memory platforms with modern Intel processors. The International Journal of High Performance Computing Applications. 33(3). 534–553. 9 indexed citations
12.
Wyrzykowski, Roman, et al.. (2018). Assessment of offload-based programming environments for hybrid CPU–MIC platforms in numerical modeling of solidification. Simulation Modelling Practice and Theory. 87. 48–72. 7 indexed citations
13.
Szustak, Łukasz. (2018). Strategy for data-flow synchronizations in stencil parallel computations on multi-/manycore systems. The Journal of Supercomputing. 74(4). 1534–1546. 9 indexed citations
14.
Szustak, Łukasz, et al.. (2018). Unleashing the performance of ccNUMA multiprocessor architectures in heterogeneous stencil computations. The Journal of Supercomputing. 75(12). 7765–7777. 3 indexed citations
15.
Lastovetsky, Alexey, Łukasz Szustak, & Roman Wyrzykowski. (2016). Model-Based Optimization of EULAG Kernel on Intel Xeon Phi Through Load Imbalancing. IEEE Transactions on Parallel and Distributed Systems. 28(3). 787–797. 32 indexed citations
16.
Szustak, Łukasz, et al.. (2016). Porting and optimization of solidification application for CPU–MIC hybrid platforms. The International Journal of High Performance Computing Applications. 32(4). 523–539. 8 indexed citations
17.
Szustak, Łukasz, et al.. (2015). Adaptation of MPDATA Heterogeneous Stencil Computation to Intel Xeon Phi Coprocessor. Scientific Programming. 2015. 1–14. 20 indexed citations
18.
Rosa, Bogdan, et al.. (2015). Adaptation of Multidimensional Positive Definite Advection Transport Algorithm to Modern High-Performance Computing Platforms. International Journal of Modeling and Optimization. 5(3). 171–176. 7 indexed citations
19.
Wyrzykowski, Roman, et al.. (2014). Parallelization of 2D MPDATA EULAG algorithm on hybrid architectures with GPU accelerators. Parallel Computing. 40(8). 425–447. 15 indexed citations
20.
Wyrzykowski, Roman, et al.. (2011). Model-driven adaptation of double-precision matrix multiplication to the Cell processor architecture. Parallel Computing. 38(4-5). 260–276. 7 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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