Christoph Stiller
- Computer Vision and Pattern Recognition top 0.05%
- Automotive Engineering top 0.05%
- Aerospace Engineering top 0.05%
- Electrical and Electronic Engineering top 2%
- Environmental Engineering top 0.2%
- Co-authors
- Andreas GeigerRaquel UrtasunPhilip LenzJulius ZieglerFrank MoosmannPhilipp BenderThao DangMartin Lauer
- Topics
- Autonomous Vehicle Technology and Safety (106 papers)Robotics and Sensor-Based Localization (70 papers)Advanced Vision and Imaging (55 papers)
- Journals
- Energy & Environmental SciencePLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- GermanyUnited StatesNorway
In The Last Decade
Christoph Stiller
240 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 8.5k
- Automotive Engineering 4.9k
- Aerospace Engineering 4.6k
- Electrical and Electronic Engineering 1.9k
- Environmental Engineering 1.9k
Countries citing papers authored by Christoph Stiller
This map shows the geographic impact of Christoph Stiller'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 Stiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Stiller more than expected).
Fields of papers citing papers by Christoph Stiller
This network shows the impact of papers produced by Christoph Stiller. 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 Stiller. The network helps show where Christoph Stiller may publish in the future.
Co-authorship network of co-authors of Christoph Stiller
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Stiller. A scholar is included among the top collaborators of Christoph Stiller 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 Stiller. Christoph Stiller 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 45 | |
| 8 | 5 | |
| 9 | 62 | |
| 10 | 9 | |
| 11 | 200 | |
| 12 | 41 | |
| 13 | 160 | |
| 14 | 32 | |
| 15 | 0 | |
| 16 | What sensors are needed for autonomous driving | 0 |
| 17 | Trajectory planning for Bertha — A local, continuous methodbreakdown → | 331 |
| 18 | 141 | |
| 19 | 172 | |
| 20 | Business Case Hydrogen Infrastructure | 2 |
About Christoph Stiller
Christoph Stiller is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Instrumentation, having authored 258 papers that have together received 14.6k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (106 papers), Robotics and Sensor-Based Localization (70 papers) and Advanced Vision and Imaging (55 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (8.5k citations), Automotive Engineering (4.9k citations) and Geology (1.1k citations). Christoph Stiller has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Andreas Geiger, Raquel Urtasun, Philip Lenz, Julius Ziegler, Frank Moosmann, Philipp Bender, Thao Dang, Martin Lauer, Olav Bolland and Janusz Konrad. Their work appears in journals such as Energy & Environmental Science, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.