Maximilian Geisslinger
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Markus LienkampJohannes BetzFelix NobisMarkus WeberPhillip KarleChristoph LütgeAlexander HeilmeierThomas Herrmann
- Topics
- Autonomous Vehicle Technology and Safety (7 papers)Human-Automation Interaction and Safety (4 papers)Ethics and Social Impacts of AI (4 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Maximilian Geisslinger
12 papers receiving 488 citations
Peers
Comparison fields: 5 of 67
- Automotive Engineering 214
- Computer Vision and Pattern Recognition 186
- Aerospace Engineering 125
- Artificial Intelligence 94
- Control and Systems Engineering 71
Countries citing papers authored by Maximilian Geisslinger
This map shows the geographic impact of Maximilian Geisslinger'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 Maximilian Geisslinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Geisslinger more than expected).
Fields of papers citing papers by Maximilian Geisslinger
This network shows the impact of papers produced by Maximilian Geisslinger. 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 Maximilian Geisslinger. The network helps show where Maximilian Geisslinger may publish in the future.
Co-authorship network of co-authors of Maximilian Geisslinger
This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Geisslinger. A scholar is included among the top collaborators of Maximilian Geisslinger 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 Maximilian Geisslinger. Maximilian Geisslinger 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 | 40 | |
| 3 | 55 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | 60 | |
| 9 | 17 | |
| 10 | 73 | |
| 11 | 3 | |
| 12 | 218 |
About Maximilian Geisslinger
Maximilian Geisslinger is a scholar working on Automotive Engineering, Safety Research and Safety, Risk, Reliability and Quality, having authored 12 papers that have together received 508 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Human-Automation Interaction and Safety (4 papers) and Ethics and Social Impacts of AI (4 papers). The work is most often cited by research in Automotive Engineering (214 citations), Computer Vision and Pattern Recognition (186 citations) and Instrumentation (29 citations). Maximilian Geisslinger has collaborated with scholars based in Germany and United States. Frequent co-authors include Markus Lienkamp, Johannes Betz, Felix Nobis, Markus Weber, Phillip Karle, Christoph Lütge, Alexander Heilmeier, Thomas Herrmann, Leonhard Hermansdorfer and Boris Lohmann. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Technology in Society.
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.