Jan Ciesko

526 total citations · 1 hit paper
13 papers, 244 citations indexed

About

Jan Ciesko is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jan Ciesko has authored 13 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hardware and Architecture, 12 papers in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Jan Ciesko's work include Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (11 papers) and Distributed and Parallel Computing Systems (8 papers). Jan Ciesko is often cited by papers focused on Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (11 papers) and Distributed and Parallel Computing Systems (8 papers). Jan Ciesko collaborates with scholars based in United States, Spain and Switzerland. Jan Ciesko's 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 and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing and The International Journal of High Performance Computing Applications.

In The Last Decade

Jan Ciesko

10 papers receiving 233 citations

Hit Papers

Kokkos 3: Programming Model Extensions for the Exascale Era 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Ciesko United States 3 114 100 31 26 26 13 244
Evan Harvey United States 1 99 0.9× 90 0.9× 30 1.0× 26 1.0× 26 1.0× 2 226
Nathan Ellingwood United States 5 106 0.9× 96 1.0× 35 1.1× 26 1.0× 26 1.0× 6 265
Mikael Simberg Switzerland 3 138 1.2× 127 1.3× 32 1.0× 31 1.2× 31 1.2× 4 289
David Poliakoff United States 3 121 1.1× 112 1.1× 41 1.3× 31 1.2× 36 1.4× 5 287
Jonathan Madsen United States 5 129 1.1× 116 1.2× 40 1.3× 33 1.3× 36 1.4× 8 299
Rahulkumar Gayatri United States 6 151 1.3× 141 1.4× 34 1.1× 27 1.0× 28 1.1× 16 344
Adam Kunen United States 4 93 0.8× 88 0.9× 26 0.8× 11 0.4× 8 0.3× 8 179
Roman Iakymchuk Sweden 8 99 0.9× 95 0.9× 17 0.5× 24 0.9× 16 0.6× 24 213
Tommy Minyard United States 9 52 0.5× 128 1.3× 39 1.3× 36 1.4× 35 1.3× 17 287
Lukasz Wesolowski United States 7 144 1.3× 154 1.5× 12 0.4× 20 0.8× 106 4.1× 9 330

Countries citing papers authored by Jan Ciesko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jan Ciesko

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Ciesko. A scholar is included among the top collaborators of Jan Ciesko 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 Jan Ciesko. Jan Ciesko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Henriksen, Ian, Jan Ciesko, & Stephen L. Olivier. (2025). Extending the C++ Execution Control Library to Support Dynamic Parallel Runtime Systems. 1751–1761.
2.
Bernholdt, David E., George Bosilca, Aurélien Bouteiller, et al.. (2024). Taking the MPI standard and the open MPI library to exascale. The International Journal of High Performance Computing Applications.
3.
4.
Ciesko, Jan, et al.. (2023). Performance Insights into Device-initiated RMA Using Kokkos Remote Spaces. 66–67. 2 indexed citations
5.
Trott, Christian Robert, Damien Lebrun-Grandié, Daniel Arndt, et al.. (2021). Kokkos 3: Programming Model Extensions for the Exascale Era. IEEE Transactions on Parallel and Distributed Systems. 33(4). 805–817. 226 indexed citations breakdown →
6.
Moretó, Miquel, et al.. (2020). RICH. QRU Quaderns de Recerca en Urbanisme. 1–13. 1 indexed citations
7.
Ciesko, Jan. (2020). Distributed memory programming and multi-GPU Support with KOKKOS.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
8.
Ciesko, Jan, et al.. (2020). Towards Generic Parallel Programming in Computer Science Education with Kokkos. 74. 35–42. 1 indexed citations
9.
Ciesko, Jan, et al.. (2020). Implementing Flexible Threading Support in Open MPI. 21–30. 2 indexed citations
10.
Ciesko, Jan, et al.. (2019). HDOT — An approach towards productive programming of hybrid applications. Journal of Parallel and Distributed Computing. 137. 104–118. 3 indexed citations
11.
Ciesko, Jan, et al.. (2015). Boosting irregular array Reductions through In-lined Block-ordering on fast processors. 1–6. 2 indexed citations
12.
Ciesko, Jan, et al.. (2015). Scaling irregular array-type reductions in OmpSs. QRU Quaderns de Recerca en Urbanisme. 138–140. 2 indexed citations
13.
Ciesko, Jan, Javier Bueno, Nikola Puzovic, et al.. (2013). Programmable and Scalable Reductions on Clusters. QRU Quaderns de Recerca en Urbanisme. 560–568. 3 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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