Łukasz Szustak
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 16
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- Distributed and Parallel Computing Systems 9
- Advanced Data Storage Technologies 9
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- Cloud Computing and Resource Management 3
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- Advanced Numerical Methods in Computational Mathematics 3
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- Solidification and crystal growth phenomena 4
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- Aluminum Alloy Microstructure Properties 2
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- Meteorological Phenomena and Simulations 2
- Co-authors
- Roman WyrzykowskiAlexey LastovetskyMarco LapegnaPaweł GepnerDiego RomanoGiuliano LaccettiBogdan RosaZbigniew Piotrowski
- Journals
- Future Generation Computer Systems (2 papers)IEEE Transactions on Parallel and Distributed Systems (3 papers)Journal of Parallel and Distributed Computing (2 papers)
- Partner nations
- PolandItalyUnited Kingdom
In The Last Decade
Łukasz Szustak
21 papers receiving 196 citations
Peers
Comparison fields: 5 of 46
- Hardware and Architecture 109
- Computer Networks and Communications 118
- Information Systems 42
- Computational Theory and Mathematics 20
- Computational Mechanics 24
Countries citing papers authored by Łukasz Szustak
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
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
The 15 scholars most cited alongside Łukasz Szustak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2019 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 9 | |
| 14 | 2018 | 3 | |
| 15 | 2016 | 32 | |
| 16 | 2016 | 8 | |
| 17 | 2015 | 20 | |
| 18 | 2014 | 15 | |
| 19 | 2014 | 15 | |
| 20 | 2011 | 7 |
About Łukasz Szustak
Łukasz Szustak is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 199 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (9 papers), Solidification and crystal growth phenomena (4 papers), Cloud Computing and Resource Management (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Aluminum Alloy Microstructure Properties (2 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Hardware and Architecture (109 citations), Computer Networks and Communications (118 citations) and Information Systems (42 citations). Łukasz Szustak has collaborated with scholars based in Poland, Italy and United Kingdom. Frequent co-authors include Roman Wyrzykowski, Alexey Lastovetsky, Marco Lapegna, Paweł Gepner, Diego Romano, Giuliano Laccetti, Bogdan Rosa, Zbigniew Piotrowski, Krzysztof Kurowski and Andrzej Wyszogrodzki. Their work appears in journals such as Future Generation Computer Systems, IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing.
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.