Pavel Tvrdı́k
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Daniel LangrT. DytrychThomas L. CasavantFrantišek PlášilJ. P. DraayerPetr ŠkodaKristina D. LauneyMarie-Claude Heydemann
- Topics
- Parallel Computing and Optimization Techniques (18 papers)Distributed and Parallel Computing Systems (16 papers)Advanced Data Storage Technologies (13 papers)
- Journals
- Computer Physics CommunicationsComputers & StructuresIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- CzechiaUnited StatesFrance
In The Last Decade
Pavel Tvrdı́k
46 papers receiving 319 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 206
- Hardware and Architecture 149
- Artificial Intelligence 64
- Computational Theory and Mathematics 60
- Electrical and Electronic Engineering 43
Countries citing papers authored by Pavel Tvrdı́k
This map shows the geographic impact of Pavel Tvrdı́k'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 Pavel Tvrdı́k with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Tvrdı́k more than expected).
Fields of papers citing papers by Pavel Tvrdı́k
This network shows the impact of papers produced by Pavel Tvrdı́k. 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 Pavel Tvrdı́k. The network helps show where Pavel Tvrdı́k may publish in the future.
Co-authorship network of co-authors of Pavel Tvrdı́k
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Tvrdı́k. A scholar is included among the top collaborators of Pavel Tvrdı́k 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 Pavel Tvrdı́k. Pavel Tvrdı́k 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 | 11 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | Storing sparse matrices to files in the adaptive-blocking hierarchical storage format | 6 |
| 6 | Dynamic loop reversal - The new code transformation technique | 0 |
| 7 | Adaptive-blocking hierarchical storage format for sparse matrices | 13 |
| 8 | 3 | |
| 9 | 12 | |
| 10 | Toward more parallel frequent itemset mining algorithms | 2 |
| 11 | System for trading processors' quanta on a digital market. | 0 |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | Optimal gossip in noncombining 2D-meshes. | 1 |
| 20 | Parallel Computers: Theory and Practice | 22 |
About Pavel Tvrdı́k
Pavel Tvrdı́k is a scholar working on Hardware and Architecture, Computational Mathematics and Computer Networks and Communications, having authored 52 papers that have together received 329 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Distributed and Parallel Computing Systems (16 papers) and Advanced Data Storage Technologies (13 papers). The work is most often cited by research in Computational Mathematics (15 citations), Hardware and Architecture (149 citations) and Computer Networks and Communications (206 citations). Pavel Tvrdı́k has collaborated with scholars based in Czechia, United States and France. Frequent co-authors include Daniel Langr, T. Dytrych, Thomas L. Casavant, František Plášil, J. P. Draayer, Petr Škoda, Kristina D. Launey, Marie-Claude Heydemann, Z. Bittnar and Jaroslav Kruis. Their work appears in journals such as Computer Physics Communications, Computers & Structures and IEEE Transactions on Parallel and Distributed Systems.
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.