Juliusz Pukacki
- Computer Networks and Communications top 10%
- Information Systems and Management top 5%
- Information Systems top 10%
- Hardware and Architecture top 10%
- Molecular Biology
- Co-authors
- Jarek NabrzyskiKrzysztof KurowskiMichael RussellKelly DavisAriel OleksiakGabrielle AllenJohn ShalfAndré Merzky
- Topics
- Distributed and Parallel Computing Systems (9 papers)Parallel Computing and Optimization Techniques (6 papers)Scientific Computing and Data Management (5 papers)
In The Last Decade
Juliusz Pukacki
16 papers receiving 182 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 135
- Information Systems and Management 65
- Information Systems 61
- Hardware and Architecture 57
- Molecular Biology 24
Countries citing papers authored by Juliusz Pukacki
This map shows the geographic impact of Juliusz Pukacki'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 Juliusz Pukacki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juliusz Pukacki more than expected).
Fields of papers citing papers by Juliusz Pukacki
This network shows the impact of papers produced by Juliusz Pukacki. 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 Juliusz Pukacki. The network helps show where Juliusz Pukacki may publish in the future.
Co-authorship network of co-authors of Juliusz Pukacki
This figure shows the co-authorship network connecting the top 25 collaborators of Juliusz Pukacki. A scholar is included among the top collaborators of Juliusz Pukacki 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 Juliusz Pukacki. Juliusz Pukacki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 27 | |
| 13 | Validating the ACGT Oncosimulator with a Grid-Supported Visualisation Environment | 2 |
| 14 | 12 | |
| 15 | 5 | |
| 16 | 28 | |
| 17 | 80 | |
| 18 | GridLab – Enabling Applications on the Grid: A Progress Report | 2 |
| 19 | 12 | |
| 20 | 0 |
About Juliusz Pukacki
Juliusz Pukacki is a scholar working on Hardware and Architecture, Health Informatics and Information Systems and Management, having authored 20 papers that have together received 203 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Parallel Computing and Optimization Techniques (6 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Information Systems and Management (65 citations), Hardware and Architecture (57 citations) and Computer Networks and Communications (135 citations). Juliusz Pukacki has collaborated with scholars based in Poland, Germany and Greece. Frequent co-authors include Jarek Nabrzyski, Krzysztof Kurowski, Michael Russell, Kelly Davis, Ariel Oleksiak, Gabrielle Allen, John Shalf, André Merzky, Thomas Radke and Tom Goodale. Their work appears in journals such as Cancer Research, Scientific Reports and IEEE Journal of Biomedical and Health Informatics.
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.