Matthias Goebl
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Georg FärberMoritz WerlingOliver PinkChristoph StillerBenjamin PitzerFelix von HundelshausenSören KammelJoachim Schröder
- Topics
- Autonomous Vehicle Technology and Safety (4 papers)Robotics and Sensor-Based Localization (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- Journal of Field RoboticsmediaTUM (Technical University of Munich)Repository KITopen (Karlsruhe Institute of Technology)
In The Last Decade
Matthias Goebl
8 papers receiving 244 citations
Peers
Comparison fields: 5 of 36
- Automotive Engineering 170
- Computer Vision and Pattern Recognition 128
- Control and Systems Engineering 75
- Aerospace Engineering 71
- Artificial Intelligence 39
Countries citing papers authored by Matthias Goebl
This map shows the geographic impact of Matthias Goebl'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 Matthias Goebl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Goebl more than expected).
Fields of papers citing papers by Matthias Goebl
This network shows the impact of papers produced by Matthias Goebl. 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 Matthias Goebl. The network helps show where Matthias Goebl may publish in the future.
Co-authorship network of co-authors of Matthias Goebl
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Goebl. A scholar is included among the top collaborators of Matthias Goebl 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 Matthias Goebl. Matthias Goebl 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 | Kognitive Automobile - Neue Konzepte und Ideen des Sonderforschungsbereiches TR-28 | 3 |
| 4 | 5 | |
| 5 | 22 | |
| 6 | 182 | |
| 7 | 3 | |
| 8 | Team AnnieWAY Technical System Description | 2 |
| 9 | 40 |
About Matthias Goebl
Matthias Goebl is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 9 papers that have together received 258 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (4 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Automotive Engineering (170 citations), Computer Vision and Pattern Recognition (128 citations) and Control and Systems Engineering (75 citations). Matthias Goebl has collaborated with scholars based in Germany and Slovakia. Frequent co-authors include Georg Färber, Moritz Werling, Oliver Pink, Christoph Stiller, Benjamin Pitzer, Felix von Hundelshausen, Sören Kammel, Joachim Schröder, Christian Frese and Julius Ziegler. Their work appears in journals such as Journal of Field Robotics, mediaTUM (Technical University of Munich) and Repository KITopen (Karlsruhe Institute of Technology).
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.