Christoph Schöller
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Safety, Risk, Reliability and Quality top 10%
- Aerospace Engineering
- Topics
- Autonomous Vehicle Technology and Safety (5 papers)Advanced Neural Network Applications (2 papers)Transportation and Mobility Innovations (1 paper)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- arXiv (Cornell University)mediaTUM (Technical University of Munich)elib (German Aerospace Center)
- Partner nations
- Germany
In The Last Decade
Christoph Schöller
6 papers receiving 253 citations
Peers
Comparison fields: 5 of 44
- Automotive Engineering 159
- Computer Vision and Pattern Recognition 117
- Artificial Intelligence 79
- Safety, Risk, Reliability and Quality 46
- Aerospace Engineering 42
Countries citing papers authored by Christoph Schöller
This map shows the geographic impact of Christoph Schöller'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 Christoph Schöller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Schöller more than expected).
Fields of papers citing papers by Christoph Schöller
This network shows the impact of papers produced by Christoph Schöller. 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 Christoph Schöller. The network helps show where Christoph Schöller may publish in the future.
Co-authorship network of co-authors of Christoph Schöller
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Schöller. A scholar is included among the top collaborators of Christoph Schöller 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 Christoph Schöller. Christoph Schöller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 8 | |
| 3 | 157 | |
| 4 | Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems | 44 |
| 5 | Providentia - A Large Scale Sensing System for the Assistance of Autonomous Vehicles | 15 |
| 6 | The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction. | 10 |
About Christoph Schöller
Christoph Schöller is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 6 papers that have together received 258 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (2 papers) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Automotive Engineering (159 citations), Computer Vision and Pattern Recognition (117 citations) and Safety, Risk, Reliability and Quality (46 citations). Christoph Schöller has collaborated with scholars based in Germany. Frequent co-authors include Alois Knoll, Vincent Aravantinos, Dominik Rosenbaum, Franz Kurz and Amit Kumar Sahu. Their work appears in journals such as arXiv (Cornell University), mediaTUM (Technical University of Munich) and elib (German Aerospace Center).
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.