Aljoša Ošep
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Automotive Engineering top 10%
- Environmental Engineering
- Artificial Intelligence
- Co-authors
- Laura Leal-TaixéBastian LeibeAlexander KimMarkus MathiasJörg StücklerDeva RamananJonathon LuitenAlexander Hermans
- Topics
- Video Surveillance and Tracking Methods (10 papers)Robotics and Sensor-Based Localization (10 papers)Advanced Vision and Imaging (6 papers)
- Journals
- International Journal of Computer VisionIEEE Robotics and Automation Letters2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Aljoša Ošep
19 papers receiving 374 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 300
- Aerospace Engineering 152
- Automotive Engineering 95
- Environmental Engineering 64
- Artificial Intelligence 60
Countries citing papers authored by Aljoša Ošep
This map shows the geographic impact of Aljoša Ošep'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 Aljoša Ošep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aljoša Ošep more than expected).
Fields of papers citing papers by Aljoša Ošep
This network shows the impact of papers produced by Aljoša Ošep. 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 Aljoša Ošep. The network helps show where Aljoša Ošep may publish in the future.
Co-authorship network of co-authors of Aljoša Ošep
This figure shows the co-authorship network connecting the top 25 collaborators of Aljoša Ošep. A scholar is included among the top collaborators of Aljoša Ošep 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 Aljoša Ošep. Aljoša Ošep 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 9 | |
| 11 | 128 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 29 | |
| 16 | 78 | |
| 17 | 27 | |
| 18 | 39 | |
| 19 | 2 | |
| 20 | 1 |
About Aljoša Ošep
Aljoša Ošep is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 21 papers that have together received 393 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Robotics and Sensor-Based Localization (10 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (300 citations), Geology (58 citations) and Automotive Engineering (95 citations). Aljoša Ošep has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Laura Leal-Taixé, Bastian Leibe, Alexander Kim, Markus Mathias, Jörg Stückler, Deva Ramanan, Jonathon Luiten, Alexander Hermans, Francis Engelmann and Mengtian Li. Their work appears in journals such as International Journal of Computer Vision, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.