Sören Kammel
- Automotive Engineering top 1%
- Computer Vision and Pattern Recognition top 1%
- Control and Systems Engineering top 2%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Moritz WerlingJulius ZieglerSebastian ThrunBenjamin PitzerLutz GröllChristoph StillerGeorg FärberOliver Pink
- Topics
- Autonomous Vehicle Technology and Safety (7 papers)Robotics and Sensor-Based Localization (5 papers)Optical measurement and interference techniques (4 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- The International Journal of Robotics ResearchJournal of Field Roboticsat - Automatisierungstechnik
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Sören Kammel
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Automotive Engineering 858
- Computer Vision and Pattern Recognition 671
- Control and Systems Engineering 453
- Aerospace Engineering 191
- Artificial Intelligence 126
Countries citing papers authored by Sören Kammel
This map shows the geographic impact of Sören Kammel'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 Sören Kammel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sören Kammel more than expected).
Fields of papers citing papers by Sören Kammel
This network shows the impact of papers produced by Sören Kammel. 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 Sören Kammel. The network helps show where Sören Kammel may publish in the future.
Co-authorship network of co-authors of Sören Kammel
This figure shows the co-authorship network connecting the top 25 collaborators of Sören Kammel. A scholar is included among the top collaborators of Sören Kammel 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 Sören Kammel. Sören Kammel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 215 | |
| 4 | 37 | |
| 5 | Optimal trajectory generation for dynamic street scenarios in a Frenét Framebreakdown → | 536 |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 182 | |
| 9 | 80 | |
| 10 | Team AnnieWAY Technical System Description | 2 |
| 11 | 63 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 10 |
About Sören Kammel
Sören Kammel is a scholar working on Automotive Engineering, Geology and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Robotics and Sensor-Based Localization (5 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Automotive Engineering (858 citations), Computer Vision and Pattern Recognition (671 citations) and Control and Systems Engineering (453 citations). Sören Kammel has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Moritz Werling, Julius Ziegler, Sebastian Thrun, Benjamin Pitzer, Lutz Gröll, Christoph Stiller, Georg Färber, Oliver Pink, Matthias Goebl and Felix von Hundelshausen. Their work appears in journals such as The International Journal of Robotics Research, Journal of Field Robotics and at - Automatisierungstechnik.
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.