Jiřı́ Filip
- Computer Graphics and Computer-Aided Design top 1%
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Atomic and Molecular Physics, and Optics
- Geophysics top 10%
- Co-authors
- Michal HaindlVáclav SuchýVlastimil HavranKarol MyszkowskiMike J. ChantlerPetr DobešA. ZemanIvana Sýkorová
- Topics
- Computer Graphics and Visualization Techniques (35 papers)Advanced Vision and Imaging (17 papers)3D Shape Modeling and Analysis (16 papers)
In The Last Decade
Jiřı́ Filip
57 papers receiving 537 citations
Peers
Comparison fields: 5 of 61
- Computer Graphics and Computer-Aided Design 300
- Computer Vision and Pattern Recognition 279
- Computational Mechanics 167
- Atomic and Molecular Physics, and Optics 100
- Geophysics 80
Countries citing papers authored by Jiřı́ Filip
This map shows the geographic impact of Jiřı́ Filip'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 Jiřı́ Filip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiřı́ Filip more than expected).
Fields of papers citing papers by Jiřı́ Filip
This network shows the impact of papers produced by Jiřı́ Filip. 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 Jiřı́ Filip. The network helps show where Jiřı́ Filip may publish in the future.
Co-authorship network of co-authors of Jiřı́ Filip
This figure shows the co-authorship network connecting the top 25 collaborators of Jiřı́ Filip. A scholar is included among the top collaborators of Jiřı́ Filip 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 Jiřı́ Filip. Jiřı́ Filip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | PyIDS - Python Implementation of Interpretable Decision Sets Algorithm by Lakkaraju et al, 2016. | 2 |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 24 | |
| 15 | 14 | |
| 16 | Digital Material Appearance: The Curse of Tera-Bytes. | 12 |
| 17 | 5 | |
| 18 | 21 | |
| 19 | 72 | |
| 20 | 15 |
About Jiřı́ Filip
Jiřı́ Filip is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 59 papers that have together received 576 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (35 papers), Advanced Vision and Imaging (17 papers) and 3D Shape Modeling and Analysis (16 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (300 citations), Computer Vision and Pattern Recognition (279 citations) and Geology (55 citations). Jiřı́ Filip has collaborated with scholars based in Czechia, Germany and Hungary. Frequent co-authors include Michal Haindl, Václav Suchý, Vlastimil Havran, Karol Myszkowski, Mike J. Chantler, Petr Dobeš, A. Zeman, Ivana Sýkorová, Patrick R. Green and Frank J. Maile. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Tectonophysics and Sensors.
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.