Jan Ciesko
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 13
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- Advanced Data Storage Technologies 11
- Distributed and Parallel Computing Systems 8
- Distributed systems and fault tolerance 2
- Interconnection Networks and Systems 2
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- Cloud Computing and Resource Management 1
- Co-authors
- David PoliakoffDamien Lebrun-GrandiéRahulkumar GayatriAmy PowellJeff MilesMikael SimbergSivasankaran RajamanickamNathan Ellingwood
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)The International Journal of High Performance Computing Applications (1 paper)Journal of Parallel and Distributed Computing (1 paper)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Jan Ciesko
10 papers receiving 233 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Hardware and Architecture 114
- Computational Mathematics 3
- Computer Networks and Communications 100
- Nuclear and High Energy Physics 26
- Computer Graphics and Computer-Aided Design 6
Countries citing papers authored by Jan Ciesko
This map shows the geographic impact of Jan Ciesko'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 Jan Ciesko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Ciesko more than expected).
Fields of papers citing papers by Jan Ciesko
This network shows the impact of papers produced by Jan Ciesko. 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 Jan Ciesko. The network helps show where Jan Ciesko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan Ciesko, 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 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 2 | |
| 5 | Kokkos 3: Programming Model Extensions for the Exascale Erabreakdown → | 2021 | 226 |
| 6 | 2020 | 1 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 3 | |
| 11 | 2015 | 2 | |
| 12 | Scaling irregular array-type reductions in OmpSs | 2015 | 2 |
| 13 | 2013 | 3 |
About Jan Ciesko
Jan Ciesko is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 13 papers that have together received 244 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (11 papers), Distributed and Parallel Computing Systems (8 papers), Distributed systems and fault tolerance (2 papers), Interconnection Networks and Systems (2 papers) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Hardware and Architecture (114 citations), Computational Mathematics (3 citations) and Computer Networks and Communications (100 citations). Jan Ciesko has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include David Poliakoff, Damien Lebrun-Grandié, Rahulkumar Gayatri, Amy Powell, Jeff Miles, Mikael Simberg, Sivasankaran Rajamanickam, Nathan Ellingwood, Daniel Ibanez and Bruno Turcksin. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, The International Journal of High Performance Computing Applications, Journal of Parallel and Distributed Computing, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and QRU Quaderns de Recerca en Urbanisme.
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.