Markus Koschi
Impact in
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
- Vehicle Dynamics and Control Systems
- Software top 5%
Papers in
-
- Autonomous Vehicle Technology and Safety 10
- Vehicle Dynamics and Control Systems 1
-
- Robotic Path Planning Algorithms 6
- Co-authors
- Matthias Althoff (10 shared papers)Stefanie Manzinger (2 shared papers)Christian Pek (4 shared papers)Moritz Werling (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Vehicles (1 paper)Nature Machine Intelligence (1 paper)mediaTUM (Technical University of Munich) (5 papers)mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (3 papers)
- Partner nations
- Germany
In The Last Decade
Markus Koschi
10 papers receiving 677 citations
Peers
Comparison fields: 5 of 46
- Automotive Engineering 508
- Software 78
- Safety, Risk, Reliability and Quality 141
- Computer Vision and Pattern Recognition 221
- Control and Systems Engineering 225
Countries citing papers authored by Markus Koschi
This map shows the geographic impact of Markus Koschi'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 Markus Koschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Koschi more than expected).
Fields of papers citing papers by Markus Koschi
This network shows the impact of papers produced by Markus Koschi. 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 Markus Koschi. The network helps show where Markus Koschi may publish in the future.
Co-authors
The 4 scholars most cited alongside Markus Koschi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 290 | |
| 2 | 2020 | 106 | |
| 3 | 2020 | 84 | |
| 4 | 2017 | 63 | |
| 5 | 2018 | 40 | |
| 6 | 2018 | 40 | |
| 7 | 2018 | 24 | |
| 8 | 2019 | 20 | |
| 9 | 2017 | 16 | |
| 10 | 2017 | 7 |
About Markus Koschi
Markus Koschi is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality, Computational Theory and Mathematics and Control and Systems Engineering, having authored 10 papers that have together received 690 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (10 papers), Robotic Path Planning Algorithms (6 papers), Formal Methods in Verification (3 papers), Traffic and Road Safety (3 papers), Traffic control and management (2 papers), Anomaly Detection Techniques and Applications (1 paper), Vehicle Dynamics and Control Systems (1 paper) and Vehicular Ad Hoc Networks (VANETs) (1 paper). The work is most often cited by research in Automotive Engineering (508 citations), Software (78 citations), Safety, Risk, Reliability and Quality (141 citations), Computer Vision and Pattern Recognition (221 citations) and Control and Systems Engineering (225 citations). Markus Koschi has collaborated with scholars based in Germany. Frequent co-authors include Matthias Althoff, Stefanie Manzinger, Christian Pek and Moritz Werling. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, Nature Machine Intelligence, mediaTUM (Technical University of Munich) and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).
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.