Stefan Schubert
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Peer NeubertPeter ProtzelPatrick RungeD. TrommerA. SeegerJens StephanStephan JaeckelVolker Jungnickel
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Robotics and Sensor-Based Localization (10 papers)Photonic and Optical Devices (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionElectrical and Electronic EngineeringAerospace Engineering
- Partner nations
- GermanyAustraliaUnited Kingdom
In The Last Decade
Stefan Schubert
23 papers receiving 387 citations
Peers
Comparison fields: 5 of 53
- Electrical and Electronic Engineering 258
- Computer Vision and Pattern Recognition 111
- Aerospace Engineering 108
- Computer Networks and Communications 92
- Artificial Intelligence 49
Countries citing papers authored by Stefan Schubert
This map shows the geographic impact of Stefan Schubert'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 Stefan Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Schubert more than expected).
Fields of papers citing papers by Stefan Schubert
This network shows the impact of papers produced by Stefan Schubert. 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 Stefan Schubert. The network helps show where Stefan Schubert may publish in the future.
Co-authorship network of co-authors of Stefan Schubert
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Schubert. A scholar is included among the top collaborators of Stefan Schubert 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 Stefan Schubert. Stefan Schubert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 25 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 14 | |
| 9 | 59 | |
| 10 | 3 | |
| 11 | 21 | |
| 12 | Learning Vector Symbolic Architectures for Reactive Robot Behaviours | 10 |
| 13 | Two Autonomous Robots for the DLR SpaceBot Cup - Lessons Learned from 60 Minutes on the Moon | 3 |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 34 | |
| 17 | 7 | |
| 18 | Performance of InP-based 90 °-hybrids QPSK receivers within C-Band | 1 |
| 19 | 31 | |
| 20 | 73 |
About Stefan Schubert
Stefan Schubert is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering, having authored 23 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Robotics and Sensor-Based Localization (10 papers) and Photonic and Optical Devices (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (111 citations), Electrical and Electronic Engineering (258 citations) and Aerospace Engineering (108 citations). Stefan Schubert has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Peer Neubert, Peter Protzel, Patrick Runge, D. Trommer, A. Seeger, Jens Stephan, Stephan Jaeckel, Volker Jungnickel, Sander Wahls and Lars Thiele. Their work appears in journals such as Optics Express, IEEE Sensors Journal and IEEE Photonics Technology 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.