Jiří Soukup
Impact in
- Hardware and Architecture top 2%
- VLSI and Analog Circuit Testing
- Embedded Systems Design Techniques
-
- Computational Geometry and Mesh Generation
Papers in
-
- Interconnection Networks and Systems 5
- Distributed and Parallel Computing Systems 3
-
- Protist diversity and phylogeny 2
- DNA and Biological Computing 2
- Co-authors
- J. Andrew Royle (1 shared paper)Martin Soukup (1 shared paper)Dalibor Štys (1 shared paper)Jan Urban (1 shared paper)To-Yat Cheung (1 shared paper)Petr Hrabal (1 shared paper)Darina Muthná (1 shared paper)Ondřej Soukup (1 shared paper)
In The Last Decade
Jiří Soukup
21 papers receiving 461 citations
Peers
Comparison fields: 5 of 55
- Hardware and Architecture 247
- Computer Graphics and Computer-Aided Design 50
- Electrical and Electronic Engineering 402
- Computer Networks and Communications 135
- Software 19
Countries citing papers authored by Jiří Soukup
This map shows the geographic impact of Jiří Soukup'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 Jiří Soukup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Soukup more than expected).
Fields of papers citing papers by Jiří Soukup
This network shows the impact of papers produced by Jiří Soukup. 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 Jiří Soukup. The network helps show where Jiří Soukup may publish in the future.
Co-authors
The 21 scholars most cited alongside Jiří Soukup, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 159 | |
| 2 | 1978 | 99 | |
| 3 | 1978 | 73 | |
| 4 | Implementing patterns | 1995 | 34 |
| 5 | 1979 | 32 | |
| 6 | 1979 | 27 | |
| 7 | 1987 | 22 | |
| 8 | 1973 | 19 | |
| 9 | 1975 | 10 | |
| 10 | Taming C++: Pattern Classes and Persistence for Large Projects | 1994 | 8 |
| 11 | 1980 | 6 | |
| 12 | 2009 | 6 | |
| 13 | Taming C Plus Plus: Pattern Classes and Persistence for Large Projects | 1994 | 5 |
| 14 | 2022 | 5 | |
| 15 | 1977 | 5 | |
| 16 | 2007 | 5 | |
| 17 | 1990 | 5 | |
| 18 | 1969 | 2 | |
| 19 | 1992 | 1 | |
| 20 | Výživa rostlin, substráty, voda v okrasném zahradnictví | 1979 | 1 |
About Jiří Soukup
Jiří Soukup is a scholar working on Computer Networks and Communications, Molecular Biology, Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence, having authored 24 papers that have together received 526 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (7 papers), Interconnection Networks and Systems (5 papers), Distributed and Parallel Computing Systems (3 papers), Parallel Computing and Optimization Techniques (3 papers), Computational Geometry and Mesh Generation (3 papers), Computational Physics and Python Applications (2 papers), Protist diversity and phylogeny (2 papers) and DNA and Biological Computing (2 papers). The work is most often cited by research in Hardware and Architecture (247 citations), Computer Graphics and Computer-Aided Design (50 citations), Electrical and Electronic Engineering (402 citations), Computer Networks and Communications (135 citations) and Software (19 citations). Jiří Soukup has collaborated with scholars based in Canada, Czechia and Serbia. Frequent co-authors include J. Andrew Royle, Martin Soukup, Dalibor Štys, Jan Urban, To-Yat Cheung, Petr Hrabal, Darina Muthná, Ondřej Soukup, Jan Korábečný and Tomáš Kučera. Their work appears in journals such as SIAM Journal on Applied Mathematics, European Journal of Medicinal Chemistry, Numerische Mathematik, Proceedings of the IEEE and Bioinformatics.
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.