Ondřej Jamriška
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Computational Mechanics top 5%
- Control and Systems Engineering
- Signal Processing
- Co-authors
- Daniel SýkoraJakub FišerEli ShechtmanJingwan LuPaul AsenteMichal LukáčMartin ČadíkAndreas Hornung
- Topics
- Computer Graphics and Visualization Techniques (10 papers)Advanced Vision and Imaging (9 papers)3D Shape Modeling and Analysis (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- CzechiaUnited StatesSwitzerland
In The Last Decade
Ondřej Jamriška
12 papers receiving 401 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 333
- Computer Graphics and Computer-Aided Design 250
- Computational Mechanics 150
- Control and Systems Engineering 39
- Signal Processing 13
Countries citing papers authored by Ondřej Jamriška
This map shows the geographic impact of Ondřej Jamriška'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 Ondřej Jamriška with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ondřej Jamriška more than expected).
Fields of papers citing papers by Ondřej Jamriška
This network shows the impact of papers produced by Ondřej Jamriška. 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 Ondřej Jamriška. The network helps show where Ondřej Jamriška may publish in the future.
Co-authorship network of co-authors of Ondřej Jamriška
This figure shows the co-authorship network connecting the top 25 collaborators of Ondřej Jamriška. A scholar is included among the top collaborators of Ondřej Jamriška 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 Ondřej Jamriška. Ondřej Jamriška is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 55 | |
| 4 | 9 | |
| 5 | 14 | |
| 6 | 47 | |
| 7 | 71 | |
| 8 | 39 | |
| 9 | 69 | |
| 10 | 26 | |
| 11 | 27 | |
| 12 | 34 |
About Ondřej Jamriška
Ondřej Jamriška is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 12 papers that have together received 409 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), Advanced Vision and Imaging (9 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (250 citations), Computer Vision and Pattern Recognition (333 citations) and Computational Mechanics (150 citations). Ondřej Jamriška has collaborated with scholars based in Czechia, United States and Switzerland. Frequent co-authors include Daniel Sýkora, Jakub Fišer, Eli Shechtman, Jingwan Lu, Paul Asente, Michal Lukáč, Martin Čadík, Andreas Hornung, Ladislav Kavan and Alec Jacobson. Their work appears in journals such as ACM Transactions on Graphics and Computer Graphics Forum.
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.