Jakub Špaňhel
Impact in
- Media Technology top 5%
- Vehicle License Plate Recognition
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Handwritten Text Recognition Techniques
- Advanced Vision and Imaging
Papers in
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- Advanced Neural Network Applications 9
- Video Surveillance and Tracking Methods 8
- Handwritten Text Recognition Techniques 4
- Advanced Vision and Imaging 3
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- Autonomous Vehicle Technology and Safety 5
- Co-authors
- Adam Herout (15 shared papers)Jakub Sochor (9 shared papers)Roman Juránek (10 shared papers)Pavel Zemčík (3 shared papers)Petr Dobeš (3 shared papers)Jiří Ambros (1 shared paper)Jan Novák (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (2 papers)Machine Vision and Applications (1 paper)European Transport Research Review (1 paper)Computer Vision and Pattern Recognition (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)
- Partner nations
- Czechia
In The Last Decade
Jakub Špaňhel
17 papers receiving 319 citations
Peers
Comparison fields: 5 of 46
- Media Technology 118
- Computer Vision and Pattern Recognition 252
- Automotive Engineering 87
- Building and Construction 49
- Geology 11
Countries citing papers authored by Jakub Špaňhel
This map shows the geographic impact of Jakub Špaňhel'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 Jakub Špaňhel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Špaňhel more than expected).
Fields of papers citing papers by Jakub Špaňhel
This network shows the impact of papers produced by Jakub Špaňhel. 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 Jakub Špaňhel. The network helps show where Jakub Špaňhel may publish in the future.
Co-authors
The 7 scholars most cited alongside Jakub Špaňhel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2017 | 79 | |
| 3 | 2018 | 53 | |
| 4 | 2020 | 18 | |
| 5 | BrnoCompSpeed: Review of Traffic Camera Calibration and Comprehensive Dataset for Monocular Speed Measurement. | 2017 | 14 |
| 6 | 2020 | 9 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2018 | 4 | |
| 13 | 2018 | 3 | |
| 14 | Vehicle Re-Identifiation and Multi-Camera Tracking in Challenging City-Scale Environment | 2019 | 3 |
| 15 | 2019 | 3 | |
| 16 | BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance. | 2017 | 1 |
| 17 | 2020 | 1 |
About Jakub Špaňhel
Jakub Špaňhel is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Media Technology, Aerospace Engineering and Social Psychology, having authored 17 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Video Surveillance and Tracking Methods (8 papers), Autonomous Vehicle Technology and Safety (5 papers), Vehicle License Plate Recognition (5 papers), Handwritten Text Recognition Techniques (4 papers), Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (3 papers) and Safety Warnings and Signage (1 paper). The work is most often cited by research in Media Technology (118 citations), Computer Vision and Pattern Recognition (252 citations), Automotive Engineering (87 citations), Building and Construction (49 citations) and Geology (11 citations). Jakub Špaňhel has collaborated with scholars based in Czechia. Frequent co-authors include Adam Herout, Jakub Sochor, Roman Juránek, Pavel Zemčík, Petr Dobeš, Jiří Ambros and Jan Novák. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Machine Vision and Applications, European Transport Research Review, Computer Vision and Pattern Recognition and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.