Luděk Matyska
- Molecular Biology
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Information Systems top 10%
- Hardware and Architecture top 10%
- Co-authors
- Jan KovářJiří FilipovičJan FousekIgor PeterlíkJiřı́ DamborskýJan BrezovskýSérgio M. MarquesDavid Bednář
- Topics
- Distributed and Parallel Computing Systems (19 papers)Parallel Computing and Optimization Techniques (8 papers)Peer-to-Peer Network Technologies (7 papers)
In The Last Decade
Luděk Matyska
51 papers receiving 366 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 129
- Computer Networks and Communications 103
- Computational Theory and Mathematics 60
- Information Systems 54
- Hardware and Architecture 46
Countries citing papers authored by Luděk Matyska
This map shows the geographic impact of Luděk Matyska'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 Luděk Matyska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luděk Matyska more than expected).
Fields of papers citing papers by Luděk Matyska
This network shows the impact of papers produced by Luděk Matyska. 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 Luděk Matyska. The network helps show where Luděk Matyska may publish in the future.
Co-authorship network of co-authors of Luděk Matyska
This figure shows the co-authorship network connecting the top 25 collaborators of Luděk Matyska. A scholar is included among the top collaborators of Luděk Matyska 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 Luděk Matyska. Luděk Matyska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 63 | |
| 2 | OPTIMIZING CUDA CODE BY KERNEL FUSION—APPLICATION ON BLAS | 27 |
| 3 | Introduction to the CHAIN-REDS Project (objectives and achievements) | 1 |
| 4 | 1 | |
| 5 | MetaCentrum, the Czech Virtualized NGI | 3 |
| 6 | 1 | |
| 7 | 4 | |
| 8 | High Quality Large Scale Virtual Classroom | 1 |
| 9 | 8 | |
| 10 | 2 | |
| 11 | Local Search for Deadline Driven Grid Scheduling | 2 |
| 12 | 6 | |
| 13 | Virtualized Access to the Grid Computational Resources | 1 |
| 14 | Best Practices of User Account Management with VirtualOrganization Based Access to Grid | 1 |
| 15 | Register Allocation in WAM | 1 |
| 16 | 6 | |
| 17 | 24 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 15 |
About Luděk Matyska
Luděk Matyska is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 58 papers that have together received 390 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (19 papers), Parallel Computing and Optimization Techniques (8 papers) and Peer-to-Peer Network Technologies (7 papers). The work is most often cited by research in Hardware and Architecture (46 citations), Computer Networks and Communications (103 citations) and Computational Theory and Mathematics (60 citations). Luděk Matyska has collaborated with scholars based in Czechia, Italy and Slovakia. Frequent co-authors include Jan Kovář, Jiří Filipovič, Jan Fousek, Igor Peterlík, Jiřı́ Damborský, Jan Brezovský, Sérgio M. Marques, David Bednář, Ondřej Vávra and Jaroslav Koča. Their work appears in journals such as Bioinformatics, Biochemical Journal and European Journal of Biochemistry.
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.