Roman Juránek
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Automotive Engineering top 10%
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Adam HeroutJakub SochorPavel ZemčíkJakub ŠpaňhelMarkéta DubskáMichal HradišMartin MusilJiří Havel
- Topics
- Video Surveillance and Tracking Methods (13 papers)Advanced Vision and Imaging (9 papers)Advanced Neural Network Applications (6 papers)
In The Last Decade
Roman Juránek
27 papers receiving 462 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 356
- Media Technology 122
- Automotive Engineering 116
- Aerospace Engineering 67
- Artificial Intelligence 50
Countries citing papers authored by Roman Juránek
This map shows the geographic impact of Roman Juránek'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 Roman Juránek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Juránek more than expected).
Fields of papers citing papers by Roman Juránek
This network shows the impact of papers produced by Roman Juránek. 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 Roman Juránek. The network helps show where Roman Juránek may publish in the future.
Co-authorship network of co-authors of Roman Juránek
This figure shows the co-authorship network connecting the top 25 collaborators of Roman Juránek. A scholar is included among the top collaborators of Roman Juránek 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 Roman Juránek. Roman Juránek 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 | 16 | |
| 3 | 8 | |
| 4 | Vehicle Re-Identifiation and Multi-Camera Tracking in Challenging City-Scale Environment | 3 |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 51 | |
| 9 | BrnoCompSpeed: Review of Traffic Camera Calibration and Comprehensive Dataset for Monocular Speed Measurement. | 14 |
| 10 | 78 | |
| 11 | 72 | |
| 12 | 2 | |
| 13 | 76 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | Research of Image Features for Classification of Wear Debris | 7 |
| 17 | Implementing the local binary patterns with SIMD instructions of CPU | 7 |
| 18 | Brno University of Technology at TRECVid 2008 | 1 |
| 19 | 3 | |
| 20 | Real-time Tracking of Participants in Meeting Video | 1 |
About Roman Juránek
Roman Juránek is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Instrumentation, having authored 28 papers that have together received 471 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Advanced Vision and Imaging (9 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (356 citations), Media Technology (122 citations) and Automotive Engineering (116 citations). Roman Juránek has collaborated with scholars based in Czechia and Finland. Frequent co-authors include Adam Herout, Jakub Sochor, Pavel Zemčík, Jakub Špaňhel, Markéta Dubská, Michal Hradiš, Martin Musil, Jiří Havel, Heikki Kälviäinen and Lasse Lensu. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition Letters.
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.